I. How Did Your Last Client Find You?

Think about the last significant customer or client you acquired.

How did they find you?

For most established businesses, the answer will involve something familiar. A previous customer returned, somebody made a referral, or the business reached out through advertising, prospecting, or an existing relationship.

Those basic pathways have served businesses for generations. I expect they'll continue to.

People still need reasons to become aware of you, and they still need to decide whether they want to do business with you.

What's changing is the investigation that can occur between those two events.

Suppose a friend recommends an attorney.

You respect your friend's judgment, but the matter is important. You want to learn a little more before making contact.

Twenty years ago, you might have asked around. More recently, you probably would have searched Google.

Today, you can ask an AI assistant about the attorney's background, experience, professional reputation, and suitability for the particular matter you're dealing with.

You can follow up with questions you wouldn't have thought to ask during a conventional search.

You might receive a detailed answer in less time than it would take to visit the attorney's website.

Whether that answer is accurate is another question.

The attorney may have no idea the investigation occurred.

That's the development I want to explore.

We've been here before.

For years, businesses invested heavily in search engine optimization because they understood the importance of what appeared when someone searched their name.

The objective was familiar: dominate the first page of Google.

Your website, your company, your professional profiles, perhaps some favourable articles. The more relevant results you occupied, the better.

If Google displayed a Knowledge Panel about you, that was an especially desirable achievement. It suggested the search engine could identify you as a distinct person and assemble information about you.

For many professionals, obtaining one seemed almost impossible.

Those efforts made sense within the search environment of the time.

A person searched, examined the results, opened websites, and developed an opinion.

AI-assisted investigation changes how that process can unfold.

The investigator may now receive an assembled explanation before visiting a single website.

Traditional search results still exist. Knowledge Panels remain useful. The underlying websites and records continue to matter because they provide much of the material these systems may encounter.

The question receiving more attention, however, is becoming:

What does the AI say about me?

I believe that question will become consequential for established professionals.

II. The Trust Gap

Think about how you learned to trust GPS navigation.

I remember when a road atlas was standard equipment in a vehicle. You planned your route, identified the highways, and hoped the directions made sense when you arrived somewhere unfamiliar.

Then came the standalone navigation devices.

You bought a Garmin, attached it to your windshield, and marvelled at its ability to tell you where to turn.

You probably kept the atlas.

Just in case.

Eventually, vehicles came with navigation built into the dashboard. Perhaps the Garmin became the backup. The atlas disappeared.

Today, most people are perfectly comfortable travelling through unfamiliar cities using nothing more than a phone.

The technology improved along the way. So did our willingness to rely on it.

I think of the distance between a technology becoming available and people becoming comfortable depending on it as the Trust Gap.

We've experienced this transition with online banking, online shopping, and other technologies that initially made people uncomfortable.

AI-assisted investigation is moving through its own period of adoption.

Some people already use it routinely. Others remain skeptical, sometimes with good reason. AI assistants can make mistakes, confuse people with similar names, and deliver confident answers based on incomplete information.

I don't know exactly how adoption will unfold.

My expectation is that as the systems become more useful and familiar, more people will become comfortable asking them questions they previously would have investigated another way.

Here's the part that matters to your professional reputation.

You don't have to use AI for someone else's use of AI to affect you.

You might never investigate a prospective client using an AI assistant.

That doesn't mean the client won't investigate you.

III. DAV: Discover. Analyze. Verify.

I use a simple model to describe how people approach consequential professional decisions.

Discover. Analyze. Verify.

I call it DAV.

Discovery is how someone becomes aware of you. A referral, an advertisement, an article, a conversation, or a search result can all initiate the process.

Analysis begins when they consider whether you're appropriate for their needs. Your experience, qualifications, reputation, and perceived suitability enter the decision.

Verification is where they seek enough confidence to proceed.

These activities overlap in ordinary life. Someone might verify a fact while discovering a person, then return to analysis after learning something unexpected.

The sequence is useful because it helps us understand where AI may affect an otherwise familiar process.

Meet the Pocket Detective.

Imagine having an investigator in your pocket.

You can ask about a person's career, examine their professional relationships, search for published work, and request independent confirmation of something you've been told.

You can continue asking questions until you're satisfied or decide the available information is insufficient.

I call this behaviour the Pocket Detective.

The name describes how an ordinary person can use an AI assistant to investigate something without needing to understand the underlying research tools.

The assistant may retrieve relevant records and connect information that would otherwise require considerable effort to assemble.

It may also miss important evidence or misunderstand what it finds.

That limitation matters. A polished answer can create an impression of certainty the underlying material doesn't justify.

Still, the effort required to begin investigating someone has fallen considerably.

And people have always wanted to reduce uncertainty before making important decisions.

EVIDENCE?

In 1974, Amos Tversky and Daniel Kahneman published Judgment under Uncertainty: Heuristics and Biases.

Their work examined some of the mental shortcuts people use when making judgments without complete information.

Those shortcuts can be remarkably useful. They can also produce predictable errors.

Familiarity, perceived authority, and the ease with which an explanation comes to mind can influence our conclusions.

A prestigious title can affect our perception of competence.

A confident explanation can make a weak argument sound convincing.

An impressive publication can lend credibility to a claim that hasn't been adequately examined.

I've developed a habit of asking a simple question when I encounter something that seems important, including my own conclusions.

EVIDENCE?

The question mark matters.

I'm inviting an investigation.

What supports the claim? Where did the information originate? Can it be corroborated? Is there something important that contradicts it?

I don't expect people to abandon intuition. Experience can produce exceptionally useful judgment.

I do think important conclusions deserve examination.

Or, less politely:

Show me the fucking receipts.

This question runs throughout Recognition Engineering.

It also applies to what I'm telling you here.

Some of my observations concern things we can examine today. Others involve predictions about how people may use AI in the future.

Those predictions deserve scrutiny.

Reference: Tversky and Kahneman, Judgment under Uncertainty: Heuristics and Biases, Science, 1974.

IV. The Invisible Disqualification

Consider an experienced attorney with an excellent professional reputation.

Twenty-five years in practice. Respected by colleagues. A substantial history of difficult work handled successfully.

Most new clients arrive through referrals.

The attorney has never needed much of a personal website. There's a short biography on the firm's site and an old LinkedIn profile.

A prospective client receives a recommendation and decides to investigate.

The AI assistant identifies the attorney and confirms some basic credentials. Beyond that, the answer is thin.

There's little accessible information explaining the attorney's particular experience or accomplishments.

The prospect has another recommendation and investigates that person.

This time, the available record is more substantial. Relevant work is documented, professional history is clear, and several important claims have independent support.

The prospect makes contact with the second attorney.

The first attorney never knows the investigation happened.

There's no rejected proposal or lost opportunity to examine.

I call this possibility the Invisible Disqualification.

It's a hypothetical example. I can't tell you how frequently it happens, and I won't manufacture a statistic to make the concern sound more urgent.

What we can examine is the professional record itself.

We can determine whether important information is accessible, whether identities are being confused, and whether AI systems can identify evidence relevant to someone's experience.

We can also examine whether the available evidence comes entirely from the professional or includes records maintained by people and organizations outside their control.

That distinction deserves particular attention.

An investigator may find an excellent biography and substantial original writing. They may still want to know whether anyone else can substantiate the professional history being presented.

And here's the uncomfortable part.

You may never know how many people investigated you and decided NOT to proceed.

They don't owe you an explanation. They may never contact you in the first place.

An incomplete public record doesn't prove you've lost business. It does create a vulnerability worth examining, particularly when your livelihood depends on people trusting you with consequential decisions.

V. Algorithmic Risk Mitigation

I developed Algorithmic Risk Mitigation, or ARM, to give this concern a practical framework.

The basic question is whether AI-assisted interpretation of your public record could create an incomplete or misleading picture of you when someone is making an important decision.

The potential consequences depend on your circumstances.

A professional whose work depends on trust and referrals may have substantial exposure. Someone approaching a major business transaction might have a particular reason to examine what unfamiliar investigators can discover.

ARM considers how likely such investigations are, what weaknesses exist in the available record, and what those weaknesses might mean.

We can test whether an AI assistant confuses your identity, overlooks important experience, or produces an account unsupported by the available evidence.

We generally cannot establish how many prospective clients have already seen such an answer or what decisions they made because of it.

That uncertainty is part of the risk.

If a prospective client quietly decides against contacting you after an unsatisfactory investigation, you may never learn that you were considered.

The commercial consequence is plausible and potentially substantial. Its frequency and scale remain unproven.

The absence of a visible lost opportunity is no assurance that the vulnerability doesn't exist.

That's why I believe the record deserves examination before there's a known problem.

ARM is a way of examining that exposure. I don't claim there's a universal numerical score capable of predicting how many opportunities someone will lose.

Your professional credit file

Here's an analogy that helps explain the problem.

Two people each borrow $100,000.

Both repay the money in full and on time.

One borrowed from Uncle Tony.

The other borrowed from Citibank.

Assuming the bank reports the loan to the credit bureaus, that borrower develops an institutional record demonstrating repayment behaviour.

Uncle Tony's nephew may have demonstrated exactly the same reliability, but the transaction might never appear in a conventional credit file.

The difference is the available record.

Now consider professional reputation.

You may have spent decades doing excellent work. The people who know you may have tremendous confidence in your abilities.

What can someone who doesn't know you establish?

A substantial amount of professional accomplishment remains undocumented or exists only within personal relationships.

I think of this as a thin professional credit file.

There is no universal reputation bureau for professionals, and AI systems don't share a single authoritative credit score for human beings.

The analogy illustrates why an earned reputation and the accessible evidence of that reputation can be very different things.

It also introduces something we'll return to throughout this playbook.

The bank's record exists independently of the borrower's account of what happened.

Professional reputations can benefit from the same distinction.

A person may describe their accomplishments accurately. An independently maintained record gives an investigator another place to examine those claims.

Recognition Capital

People maintain good credit because it preserves options.

They may have no intention of borrowing today. Circumstances change, and having an established record can become valuable.

I believe professional reputation deserves similar attention.

The accumulated value of an earned reputation, supported by a record that others can discover and examine, is what I call Recognition Capital.

You may have no interest in acquiring another customer today.

Perhaps you're approaching retirement, considering an advisory role, or simply content with the business you've built.

Your professional history still has value.

And the opportunity to make that history understandable belongs to you.

VI. The Four Steps

 Recognition Engineering is the methodology I've developed to help make earned professional experience more discoverable, understandable, and verifiable.

It has four elements.

Identity → Expression → Engineering → Stewardship

Identity establishes what we're attempting to represent.

Expression makes that identity accessible through a personal record and original work.

Engineering connects the relevant information, including independent evidence, so people and machines have a better opportunity to understand the relationships.

Stewardship keeps the record accurate as circumstances change.

The steps are related, and work in one often leads to discoveries in another.

Identity deserves the greatest attention because everything that follows depends on understanding the person.

VII. The Who, When, How, and Why Before the What

Ask an attorney what they do.

They'll tell you they're an attorney.

Ask a physician, and they'll tell you they're a physician.

Those qualifications represent considerable achievement. They also describe categories containing enormous numbers of people.

The credential establishes that someone has met the requirements to enter a profession.

It tells us relatively little about the experiences that made a particular individual exceptionally good at the work.

That's where my curiosity begins.

Who were you when you started? When did things happen that changed your understanding? How did you develop your judgment? Why did you make the decisions that shaped your career?

Those questions reveal much more than a job title.

The experience behind the credential

Imagine two executives with comparable résumés.

Both have spent twenty-five years in business. Both have managed substantial budgets and held senior positions in respected organizations.

Their qualifications appear similar.

One spent much of their career entering troubled businesses and restoring them to health.

During those years, they learned how to identify operational problems that weren't immediately visible in financial statements. They discovered which relationships needed attention before meaningful change could occur.

Some decisions worked. Others failed.

Their understanding developed through the consequences.

The second executive may be equally accomplished, having developed an entirely different body of experience.

A résumé might make these people look interchangeable.

A careful examination of their histories would reveal meaningful differences.

That's where I believe much of a professional's real distinction lives.

In the experiences that formed their judgment.

Identity is the Ante.

I've spent much of my professional life around people who are extraordinarily good at what they do.

Some can explain their abilities beautifully.

Others struggle to articulate why their judgment is different from that of someone with similar credentials.

They know what they've learned. They apply it every day.

They may never have stopped to examine how they learned it.

I think that's a substantial missed opportunity.

A person's history contains decisions they made under pressure, observations that changed their thinking, and lessons that became so familiar they no longer recognize them as unusual.

Those experiences deserve examination.

They help explain the person behind the qualification.

And they may be precisely what someone else needs to understand when deciding whether that person's experience is relevant.

Identity is the Ante.

It's where the work begins.

VIII. Discovering What You Already Possess

For years, I kept notes about my own experiences.

I examined decisions I'd made, recurring patterns in my behaviour, and events that had changed how I understood people and business.

Sometimes I'd return to something I'd written months earlier and discover that my interpretation had changed.

Other times, the writing exposed a contradiction I hadn't recognized.

The process became an important part of how I developed my thinking.

Eventually, I began organizing the questions I'd been asking myself into something other people could use.

That became the Polaris Method.

Polaris

Polaris originally contained 51 questions.

I later added another 19 and reorganized the entire sequence into intentional modules.

There are now 70 questions.

The progression matters.

The early modules ease participants into the work. The more demanding introspection occurs in the middle, after they've had an opportunity to become comfortable examining their own history.

The later modules bring them toward a clearer understanding of what they've discovered.

The process can be exhausting.

I've found that uninterrupted immersion can be especially valuable when someone has the time and stamina for it. Many people need to complete the work over several sessions.

Either way, the value comes from the thinking.

A question might ask someone to revisit an important professional failure.

At first, they may describe what went wrong.

As they continue writing, they might recognize how the experience influenced decisions made years later. They may discover that something they once considered a setback became the foundation of an ability they now take for granted.

That's the kind of discovery I'm interested in.

Polaris provides a structured way to pursue it, although you can undertake meaningful identity work without using my method.

A place to begin

Think about a professional experience that changed your judgment.

Take some time to write about what happened.

Describe what you believed before the experience and what you came to understand afterward.

Then consider how that understanding has affected your work since.

You may find that the event was more consequential than you realized.

You may also discover that the explanation you've carried around for years doesn't hold up to closer examination.

Both are useful outcomes.

The evidence of a life

Identity work naturally leads to questions about evidence.

Perhaps you remember an important decision from twenty years ago.

There may be records documenting what happened. Former colleagues might remember the circumstances differently. Your own recollection may have changed over time.

That doesn't make the experience meaningless.

It gives you an opportunity to examine it more carefully.

The distinction between what you remember, what you believe, and what can be independently established is worth preserving.

Some experiences are deeply personal and will never belong in a public professional record.

Others help explain your work in ways a conventional biography never could.

The purpose of Identity is to understand the material before deciding what should be shared.

It's also worth considering which parts of your history have already been documented by others. You may have forgotten an old interview or professional appointment that remains accessible somewhere.

Those records can help you reconstruct your history with greater accuracy.

IX. Why This Matters to Someone Who Doesn't Know You

Return to the Pocket Detective.

Imagine someone investigating an unfamiliar professional.

The system identifies the person's qualifications and current position.

That's useful.

Now imagine the investigator asks a more specific question.

What experience does this person have dealing with businesses in financial distress?

The answer requires more than a job title.

A detailed professional history may reveal relevant appointments, decisions, published observations, and independently documented work.

The investigator can begin understanding why the person's experience might be appropriate to the problem.

This is where Identity becomes consequential.

A substantial portion of what makes someone valuable may have accumulated over decades without ever being formally documented.

The professional knows it.

The people closest to them may know it.

An unfamiliar investigator needs something to examine.

And when the decision is important, they may want to know what people outside the professional's own organization can confirm.

That's what leads us to Expression.

 

X. YourName.com

I believe established professionals should own and develop their personal domain.

YourName.com.

Or the closest appropriate equivalent they can reasonably obtain.

Your professional identity deserves an enduring home.

You may own several businesses during your career. You might work for organizations that change ownership, join boards, publish original work, or develop interests that have little connection to your principal occupation.

Those activities may each have their own websites.

The person remains the common element.

Your personal domain provides a place to explain the history and connect the different parts of your work.

I call it the canonical identity hub.

The word canonical describes its role as the primary maintained reference for your identity. It doesn't mean placing technical canonical tags on unrelated websites.

The hub

My own website, BobManor.com, serves this purpose.

It connects my professional history in automotive, the companies I've developed, my writing, advisory relationships, and creative work.

Influence.VIN has its own purpose as a business. ManorVision has its own identity as a photographic project. My longstanding automotive activities have their own histories.

Each can tell the part of the story relevant to its audience.

The personal website helps someone understand how those activities belong to the same person.

A visitor should be able to learn who you are, examine your professional history, find original work, and follow relevant references to the organizations and records that support your account.

If you've developed original terminology, a Lexicon can help explain what you mean and where those concepts originated.

You don't need to recreate every document or article on your personal site.

You need a coherent home for the person behind the work.

That home should also make room for the independent history associated with the person. An article published elsewhere or an appointment documented by an organization may be more useful when someone can discover it in the context of your broader professional record.

XI. Turn Up the Light

The Influence.VIN logo is a minimalist lighthouse.

There's a reason for that.

A lighthouse stands where it stands.

Its light makes something important visible to vessels that need to know where they are.

Most boats may never need it.

The ones that do are probably very glad they can see it.

And the lighthouse sure as fuck doesn't swim out to sea looking for ships.

I've always liked that analogy because it captures how I think about professional communication.

An accomplished person has spent years accumulating experience.

They've learned things through work that others may find useful. They've developed perspectives shaped by circumstances that can't be reproduced simply by reading about them.

Much of that knowledge remains inside their heads.

Expression gives it a way to become accessible.

The person doesn't need to invent a new identity or pretend to be something they aren't.

They can begin documenting what they've already learned.

The light was there.

We're turning up the candela.

Original work

Consider someone who's spent decades becoming exceptionally good at their profession.

Over those years, they've developed an understanding of certain problems that people earlier in their careers may not yet possess.

They've encountered difficult circumstances, made decisions, and watched the consequences.

Some of what they've learned could be valuable to someone facing similar circumstances.

Writing about it gives that experience a durable form.

A reader can examine the reasoning. A journalist can investigate the observations. Someone who discovers the article years later can still benefit from the explanation.

An AI system may also encounter the work and connect it to the author's professional history, provided that relationship is sufficiently clear.

None of this requires the person to become a professional writer.

It requires a willingness to share something they've learned.

There's another consequence worth considering.

An experience that remains entirely in your head is difficult for anyone else to investigate or reference.

Once you've expressed it, someone can examine the work. They may find it useful enough to discuss, challenge, or cite.

Over time, that can contribute to a body of independent material about your work.

You have considerably more influence over whether you make your knowledge accessible than over what other people eventually choose to say about it.

Professional responsibilities

For some readers, there are important limits on what can be shared.

An attorney has obligations to clients. A physician must protect patient confidentiality. Financial professionals may be subject to specific rules governing public communications, testimonials, and representations about their work.

Those responsibilities remain in force when publishing on a personal website or discussing professional experience.

The work of Identity may reveal experiences that are important to your development but inappropriate to disclose publicly.

Expression requires judgment about what belongs in the public record.

A professional can often explain general principles, discuss their own reasoning, or connect accurate public records without disclosing protected information. What's permissible depends on the profession, jurisdiction, and circumstances.

Where rules apply, the material and the way it's presented should be reviewed against those obligations before publication.

Recognition Engineering doesn't require someone to compromise professional responsibilities to make their experience understandable.

Transmission over Transaction

I've long preferred communication that allows a relationship to develop without demanding an immediate commercial response.

I call that philosophy Transmission over Transaction.

You share an observation because you believe it may be useful.

The person receiving it decides what to do with it.

They may disagree. They might recognize something from their own experience or carry the idea into a completely different field.

That exchange can have value without producing a sale.

I also describe this approach as Nurture > Conquest.

Trust often develops through repeated exposure to someone's thinking and conduct.

A person may read your work for years before ever meeting you. During that time, they can develop their own understanding of how you approach problems.

There's something valuable about allowing that process to happen naturally.

Someone may encounter an idea you've published and find it useful enough to reference in their own work.

You can't determine whether that happens or how the person interprets your contribution.

You can make the original work available and give people a reason to engage with it.

RALS

I developed the RALS Method as a way to communicate observations grounded in lived experience.

RALS stands for Riff, Anchor, Lift, and Shred.

Riff identifies the topic, observation, or issue worth discussing.

Anchor establishes the firsthand experience behind it. What have you seen, done, or learned that gives you a credible perspective?

Lift explores the meaning. Why does the observation matter, and what might someone else recognize and take away for themselves?

Shred brings the discussion to something useful. What can someone actually do with what they've learned?

Between Anchor and Lift, something I call the Handoff may occur.

That's when the person receiving the communication recognizes something from their own experience and begins making the thought their own.

It isn't a compulsory fifth step, and it can't be forced.

RALS is a communication method. It can be used in writing, presentations, teaching, or conversation.

AI can help assemble, examine, and refine the material. It doesn't supply the lived experience that makes the Anchor credible.

I've published the method, its examples, origins, and documentation in a public GitHub repository.

You can examine it here:

The RALS Method — GitHub

What matters for Recognition Engineering is that writing can help preserve experience while also improving the thinking behind it.

I've often begun writing with a conclusion I felt certain about, only to discover that the process exposed something I'd overlooked.

That makes the work worthwhile even before anyone reads it.

Information worth preserving

A great deal of published material repeats information already available elsewhere.

Experienced professionals have an opportunity to contribute something different through firsthand observations.

A useful article may explain an unfamiliar mechanism or document the consequences of a decision the writer actually made.

That contribution can add information to the public record.

It doesn't guarantee favourable treatment from search engines or AI systems.

The practical value is that someone who needs the knowledge now has an opportunity to find it.

And if the authorship and context are clear, they can investigate the person behind it.

XII. The Importance of Independent Evidence

A professional can accurately describe their own experience, explain what they've learned, and publish substantial original work.

That gives someone investigating them useful material to examine.

There is another question worth asking.

What can people outside the professional's own organization establish about that history?

Someone may have an impressive biography and a substantial body of original writing. Those records can tell us a great deal about how the person understands their own experience.

Independent records offer another perspective.

They may document an appointment, confirm that a particular contribution occurred, or provide a firsthand account of working with the person.

The distinction matters because the origin of evidence affects what we can reasonably conclude from it.

What is third-party evidence?

You'll hear me refer to third-party evidence throughout this playbook.

It's worth being clear about what I mean.

In this context, a third party is a person or organization outside your control that maintains its own record concerning you or your work.

Suppose an industry publication interviews you about a subject you know well.

The publication identifies you, describes your relevant experience, and attributes comments to you.

That article is a third-party record.

The publication controls its own editorial process and maintains the article on its website. You may have contributed information, but the published record belongs to another organization.

Someone investigating you can examine it independently of your personal website.

The article establishes that the interview took place and that the publication attributed certain statements to you. Depending on the reporting, it may establish additional facts.

It doesn't automatically prove that everything you said was correct or that the publication's assessment was accurate.

That's an important distinction.

Third-party evidence can also come from professional appointments, independently documented business relationships, and firsthand accounts from people who have worked with you.

The value depends on what the record establishes, how reliable its source is, and whether it genuinely originated outside your control.

An article you pay someone to publish may appear on an independent website while remaining largely under your editorial direction.

That commercial relationship matters when assessing its independence.

A self-written biography reproduced on several websites still originates from your own account.

Repetition can make information more visible. It doesn't necessarily provide additional verification.

Why it matters

Imagine someone investigating your professional reputation.

Your personal website contains a detailed biography and thoughtful original writing.

The investigator can learn a great deal about you.

They may then ask whether anyone outside your own business has documented your experience.

A credible independent record provides another place to examine the history.

This is particularly important when someone already knows your name and is considering hiring you.

They may have arrived through a trusted referral and already believe you're qualified.

They're now looking for reasons to feel confident proceeding.

Third-party evidence can help them assess whether the professional history you've presented is supported beyond your own account.

An AI assistant can retrieve and summarize some of that material, although it may overlook records or misinterpret their significance.

I wouldn't assume that an AI recommendation requires third-party evidence in every case. These systems can make recommendations on limited information, sometimes with more confidence than the evidence warrants.

For a consequential recommendation, however, I would want credible independent corroboration.

And I'd expect a careful investigator to want it too.

What others have already documented

Many established professionals have accumulated third-party history without giving it much thought.

An old interview may still exist in a publication's archive.

An organization may maintain records of previous appointments.

Someone who benefited from your work may have independently written about the experience.

Some of these records are easy to find. Others have become disconnected from your current professional identity.

Part of the work is discovering what's already there.

On BobManor.com, I maintain a Roles of Trust record describing governance, advisory, and stewardship relationships.

Where independent organizational records are available, they can help corroborate those relationships.

The objective is to make the history open to examination.

Third-party evidence may be favourable, critical, or simply factual. Each can contribute to an investigator's understanding.

And sometimes the most valuable contribution is an accurate record of something you had almost forgotten.

When the independent record is thin

What happens if you discover that very little of your professional history has been documented by others?

You may have decades of valuable experience and almost no independent material that an unfamiliar person can examine.

The professional credit-file analogy applies here.

You can't go back in time and require someone to have documented your work.

You can examine the history that already exists, connect what can be verified, and begin making your knowledge more accessible.

That gives other people an opportunity to encounter your work.

Someone may eventually find an observation useful enough to reference. A professional relationship may lead to an independently documented contribution.

There's no timetable for that, and you don't control the outcome.

I wouldn't advise purchasing flattering coverage to manufacture the appearance of a substantial independent record.

The aim is to make genuine professional experience accessible and allow legitimate recognition to develop.

Some of that recognition may never happen.

The work you've made available can still be valuable in its own right.

EVIDENCE?

 

XIII. The Topographic Map

  

This is the part of Recognition Engineering that can initially sound complicated.

I'll try to make it visible.

Imagine looking at a map of an unfamiliar region.

You can see roads, buildings, rivers, and towns.

The information is useful, but a flat map doesn't necessarily tell you much about the character of the landscape.

Now imagine a topographic map.

The contours reveal elevation. You can recognize valleys, ridges, and the relationships between different features of the terrain.

The same region begins to make more sense.

I use a similar idea when thinking about a person's professional record.

Think of someone exceptional.

I'd like you to picture the best person you've ever worked with.

Someone whose abilities genuinely impressed you.

Take a moment.

You probably remember something about how they approached their work that wouldn't appear on a résumé.

Perhaps you witnessed them make a difficult decision. You understood the circumstances and saw how their judgment affected what happened next.

You know something about that person because you were there.

Now imagine someone who's never met them trying to discover what you know.

Where would they look?

How much of what made that person exceptional could they actually establish?

Become the stranger.

Imagine you've been given that person's name as a recommendation.

You have an important decision to make, and you want to investigate before proceeding.

It's a reference check.

You find a professional biography describing their qualifications and career.

Perhaps you find something they've written that reveals how they think.

There may be an independent record of a professional appointment or a published account from someone who worked with them.

Each piece tells you something.

Some of the information originates with the person. Other parts are maintained by people or organizations outside their control.

You begin comparing what you find.

Now return to what you know about this person from firsthand experience.

How much of it was visible?

Establish the person.

This is where a personal identity hub becomes useful.

The person's website accurately describes their professional history and connects the work and relationships associated with them.

It identifies organizations they've served and publications they've contributed to.

Where independent records exist, it provides a way to find them.

The personal website becomes a reference point from which someone can examine the broader history.

The records remain where they originated.

The investigator can follow the connections.

The terrain develops.

Imagine placing the available records on a map.

The person's biography occupies one location.

Their original work occupies another.

An independently documented professional appointment sits elsewhere.

A firsthand account published by someone who worked with them contributes another perspective.

Now consider what each record establishes.

The biography describes the person's career.

Their original work allows someone to examine their reasoning.

The appointment record documents a professional responsibility.

The firsthand account describes an experience from another person's perspective.

Those records have different evidentiary value.

As their relationships become understandable, the map begins to reveal where the person's experience is well documented and where important gaps remain.

That's the topography I'm describing.

It isn't a literal map maintained by Google or a numerical measure of someone's worth.

It's a way of visualizing the depth and relationships of the available professional record.

The semantic mesh

Now we can introduce the next idea.

A semantic mesh is the network of meaningful relationships connecting the information.

The word semantic refers to meaning.

A link between two websites provides a route from one page to another.

The semantic relationship explains why the connection matters.

The person authored a particular work.

They held a documented position within an organization.

An independent publication attributed relevant observations to them.

Someone who worked with them described the circumstances of that experience.

Each relationship contributes information that can be examined.

And some of those relationships are documented by people the professional doesn't control.

The investigator can compare the person's account of their history with records maintained elsewhere.

They can also examine what those records actually establish.

A third-party account may corroborate a specific event without proving every claim made about the person's abilities.

That distinction is important.

A named investigation

Return to the person you pictured earlier.

Someone has recommended them to you.

You ask an AI assistant about their professional experience and whether there's independent evidence supporting their reputation.

The assistant may identify their qualifications and original work.

It may find records maintained by other organizations and connect them to the person's professional history.

Or it may overlook important material.

A useful answer would help you distinguish documented facts from judgments about the person's competence.

You can examine the sources and decide how much confidence to place in them.

Now imagine that same investigation being conducted about you.

Someone already has your name.

What would they find?

The Magic Eye moment

Remember those Magic Eye pictures?

At first, all you saw was a confusing arrangement of shapes.

Then you adjusted your focus, and suddenly the underlying image became visible.

Once you'd seen it, you could usually find it again.

That's what I'm hoping happens here.

What the technical work involves

The implementation can be relatively straightforward.

The personal website maintains accurate information about the person and their professional history.

Company websites identify the individual's legitimate roles. Original publications clearly identify their authors. Relevant independent records are connected where appropriate.

Consistent names, descriptive links, accessible pages, and accurate dates help reduce confusion.

Structured data can describe certain relationships in a form that search engines and other software may be able to interpret.

The work may also involve making sure important pages can be indexed and that outdated information isn't creating contradictions.

There are technical details behind each of these activities.

You don't need to master them to understand the purpose.

The important thing is that the relationships being represented are real.

A dozen websites repeating an unsupported claim don't make it true.

And a reference to an independent publication should accurately describe what that publication established.

The record becomes more useful when someone can follow the relationships and examine the evidence.

XIV. Test the Pocket Detective

Once the public record has been developed, investigate it.

Start by asking an AI assistant about yourself.

Use your full name and enough context to distinguish you from people with similar names.

Ask about your professional history and the work you've published.

Then ask it to identify the evidence supporting the claims it makes.

Pay particular attention to the sources it relies on.

Does it find your personal website? Does it identify independently published material? Does it confuse your own claims with independent verification?

Ask whether there's credible third-party evidence supporting the professional experience described in the answer.

If it cites an article, examine the article yourself.

An AI assistant may summarize an interview inaccurately or attribute more significance to a mention than the original publication justifies.

Try the same questions in another AI system.

Save the responses and their dates so you can compare them later.

If important information is missing, examine the underlying record.

Perhaps an article has no clear authorship. An old company biography may contain an outdated title. An independent record might be difficult to find.

Correct what you can establish is wrong or incomplete.

Where appropriate, request indexing through the tools provided by the relevant search platform.

Then revisit the investigation after allowing time for changes to be discovered.

There's no guarantee every system will produce the answer you want.

And there shouldn't be.

The objective is an accurate, accessible record that allows a reasonable investigation.

The Source of Truth

I want my personal domain to serve as the primary maintained reference for my identity.

In technology, people often describe such a reference as a source of truth.

That doesn't give my website the power to establish every claim simply because I published it.

Independent evidence remains important.

The personal website can accurately describe my history and connect visitors to records maintained elsewhere.

Those outside records remain under the control of their respective publishers and organizations.

Google discusses experience, expertise, authoritativeness, and trustworthiness through its E-E-A-T guidance.

Google explicitly explains that E-E-A-T is not itself a specific ranking factor. Its guidance describes qualities that can help people assess whether content is reliable and useful.

I find the emphasis on experience and accurate authorship particularly relevant.

It doesn't establish that Google or any AI system maintains a universal authority score for every professional.

Different systems retrieve and interpret information in different ways.

I believe relevant experience, original work, and corroborating records can help an investigator assess a person's suitability for a particular question.

That's the practical objective.

Reference: Google Search Central — Creating helpful, reliable, people-first content.

 

XV. Keep the Record True

 

 A professional career continues after the website is published.

You take on new responsibilities. Your understanding changes. Organizations evolve, and older material sometimes becomes inaccurate.

Stewardship is the ongoing care of the record.

It includes maintaining the website and updating professional information.

It also means examining new evidence when it challenges something you've previously written.

An old prediction may turn out to be wrong.

A professional relationship may end.

An article that was accurate when published may require an update.

There are responsible ways to preserve the original history while explaining what changed.

I've come to appreciate the value of dated work for precisely this reason.

When I publish an observation or forecast, the date gives someone an opportunity to examine what I believed at the time.

If events develop differently, the original record remains useful.

It can help me understand where my thinking went wrong.

The part you don't control

Third-party evidence creates an interesting responsibility.

You may be able to edit your personal website whenever you wish.

You generally cannot edit an article someone else published about you.

An organization may continue maintaining a record long after your relationship with it has ended.

A journalist may publish an interpretation of your work that differs from your own understanding.

Those records can continue influencing how people understand your professional history.

Stewardship involves remaining aware of them.

Suppose a professional appointment ended several years ago.

Your personal website should accurately reflect the dates of your service.

The organization's historical record may remain available, as it should.

If an AI assistant incorrectly describes the appointment as current, the underlying records can help establish the correct history.

If an independent publication contains a factual error, you can contact the publisher and request a correction.

The publisher may agree, decline, or offer a clarification.

You can maintain an accurate account on your own website regardless.

The limits of your control are part of the situation.

When other people talk about your work

A useful professional record can continue developing without your direct participation.

Someone may independently publish an account of working with you.

A journalist may revisit something you wrote years earlier.

An organization may document a new appointment.

Those records can contribute to the evidence available to future investigators.

You can make it easier for people to find your original work and understand your experience.

You cannot require them to discuss it.

And you shouldn't manufacture independent recognition simply to create the appearance of corroboration.

I have little interest in pay-to-play arrangements that dress purchased promotion up as editorial recognition.

The fact that money changed hands doesn't automatically make every published statement false. It does affect how independently the material should be regarded.

Stewardship requires paying attention to those distinctions.

The objective is to maintain an accurate record of what happened, including what other people have independently documented.

Applying the method to itself

The first edition of this playbook reflected my understanding when I wrote it.

This edition incorporates further work on Identity, Expression, and the relationships between professional experience and evidence.

I've also refined some of my thinking about how AI-assisted investigation may develop.

I intend to preserve the original edition and publish a separate comparison examining what changed and why.

Some ideas may prove durable. Others will need revision as technology and human behaviour develop.

I think that history deserves to remain accessible.

It would be strange to advocate for evidence and accountability while quietly erasing my own earlier thinking.

 

XVI. A Living Example

 

My own professional record provides an example of the work described in this playbook.

It also provides an opportunity to examine where the methodology remains incomplete.

BobManor.com serves as the central reference for my identity.

It connects my history in automotive, my original writing, the businesses I've developed, and the professional relationships that have shaped my work.

Influence.VIN has its own website because it serves a particular business purpose.

Can-Am Warranty has a separate history and body of work.

ManorVision provides a home for my photography.

Bobservations and Manorisms preserve different forms of my writing, including dated observations that can be examined against subsequent developments.

My Roles of Trust record documents professional appointments and relationships, with independent sources where available.

The RALS Method and Recognition Engineering have their own documentation.

Those properties have developed over time for different reasons.

The personal website helps connect them.

Let's examine some actual records.

I could simply tell you that I have experience in automotive, that I advise organizations, and that I've developed original methods.

You would be entitled to ask how much of that can be established beyond my own descriptions.

So here are a few examples.

1. An organizational record — Lion Partnership

Lion Partnership maintains a public profile identifying me as VP & Strategic Advisor: Recognition, Growth & Market Intelligence.

The page describes my advisory responsibilities and connects the role to my broader professional background.

That's an organizational record of a relationship.

It provides another location where someone can examine how the organization represents my involvement.

There's an additional detail worth disclosing: Influence.VIN provided site design and systems work for Lion Partnership.

That connection doesn't make the appointment fictitious. It does mean the page shouldn't be treated as entirely independent editorial evaluation of my abilities.

The record supports the existence and stated nature of the relationship. It doesn't prove that I'm particularly good at the work.

An investigator should understand the difference.

2. Independent editorial coverage — Canadian Auto Dealer

In March 2025, Canadian Auto Dealer published Perry Lefko's article Fasten your seatbelts, examining conditions in the Canadian automotive industry.

I was among the people interviewed.

The publication identified my automotive background and attributed observations to me concerning vehicle supply, the used market, and cross-border trade.

You can read the original article here.

This is a different kind of record.

I didn't publish the article on my website. It was produced by an industry publication, and the quotations appear within its reporting.

It establishes that I participated in that discussion and that the publication attributed those observations to me.

Whether my forecasts were accurate is a separate question, one that can be examined against subsequent events.

That's an important feature of dated material.

The record doesn't have to be flattering to be useful. It needs to be accurate about what happened.

I also contributed a guest article to Canadian Auto Dealer in April 2025.

That record establishes something different: a publication carrying my original commentary under my byline.

The distinction between being quoted by a journalist and authoring a guest contribution is worth preserving.

Both can be useful. They support different claims.

3. Original intellectual work — The RALS Method

In November 2026, I published the RALS Method repository on GitHub.

The repository identifies me as the creator and contains documentation explaining the method, examples of its use, and information about its origins.

GitHub provides a public place to examine the material and its revision history.

The repository also received a correction shortly after publication.

One of the definitions needed clarification.

Rather than treating the original publication as something that had to remain untouched, I corrected the material.

That's part of maintaining an accurate record.

The repository is still my own publication. GitHub doesn't independently certify that I invented the method or that it produces particular results.

What it does provide is a publicly accessible body of work that can be examined and referenced.

Earlier dated publications and independent references can contribute additional context about its development.

What the examples establish

These records have different origins and different purposes.

The Lion Partnership page documents an organizational relationship.

The Canadian Auto Dealer reporting documents my participation in an industry discussion.

The guest article records an original contribution published by an outside publication.

The GitHub repository provides public documentation of a method I created and maintain.

None of those records establishes everything about me.

Taken together, they give an investigator several distinct places to examine particular claims.

They also create relationships between my identity, the work, and the organizations maintaining those records.

Those relationships belong in the topographic map.

What's still missing?

Quite a bit, actually.

I've spent decades in the automotive industry. Some of that history is well documented. Other parts remain in old business records, private correspondence, archived websites, and the memories of people I worked with.

Not every important professional experience has a public record.

Some shouldn't.

And there are relationships between my older work and my current identity that I haven't adequately connected.

That doesn't mean the work didn't happen.

It means someone unfamiliar with me may have difficulty establishing it.

I'm still working on that.

I think it's important to say so.

The methodology is being applied to my own professional history, and the work remains incomplete.

You can examine the public record yourself.

You may find something I've overlooked or disagree with a conclusion I've published.

That's part of the value of making the material accessible.

I don't expect every AI system to interpret the entire history accurately.

I want the evidence to be available for examination.

 

XVII. The Grail

So far, we've concentrated on what happens when someone already knows your name.

A referral introduces you to a prospective client.

The person investigates your background.

Recognition Engineering helps make the relevant professional record more accessible during that investigation.

I consider that the immediate priority.

There's another possibility worth exploring.

What happens when someone doesn't know you exist?

Imagine a person asking an AI assistant to identify someone with substantial firsthand experience solving a particular professional problem.

The assistant may retrieve original work and identify individuals whose documented experience appears relevant.

Independent references may provide additional context about those individuals and their work.

A person the investigator has never heard of could become a candidate for further consideration.

I call this possibility the Grail.

The idea is compelling because the introduction could originate from the relevance of someone's work to a particular question.

There's no assurance that any individual will be recommended, and the methods used by AI systems will continue changing.

Still, the possibility deserves attention.

For years, professionals invested in being found when someone searched their names or businesses.

Now we can also consider whether their work might be discovered when someone searches for the knowledge or experience they possess.

The first objective is to make the named investigation accurate.

The second may become an additional benefit of maintaining a useful professional record.

Context matters.

I spend a great deal of time with photography.

I also have decades of experience in the automotive industry.

Imagine I photograph an abandoned automotive factory in Windsor.

A photographer with a much stronger reputation for photographic technique may produce an extraordinary image of the same building.

If someone is looking for an example of exceptional composition, that photographer's experience may be especially relevant.

An editor researching the history of automotive manufacturing in Windsor might have a different reason to examine my photograph.

If I've accurately documented the industrial context and connected the image to my relevant experience, the editor has more information to work with.

The photograph's usefulness depends partly on the question being asked.

The same principle applies to professional knowledge.

Your most valuable experience may be particularly relevant to a narrow set of circumstances.

Making that experience understandable gives others an opportunity to recognize its relevance.

XVIII. Begin With What You Know

If you've reached this point, you probably have some sense of how the ideas might apply to your own circumstances.

You may also be wondering how much work is involved.

That depends on the professional record you already have.

Some people have substantial original work scattered across several websites. Others have spent decades developing expertise that has rarely been documented.

I would begin with a careful examination of what's already there.

And you can begin today.

A 15-Minute Investigation

You don't need to buy anything or engage anyone to try this.

Set aside fifteen minutes.

First, investigate yourself.

Open an AI assistant that can search or retrieve current public information.

Give it your full name and enough professional context to distinguish you from people with similar names.

Ask:

What can you establish about my professional history, experience, and reputation from publicly accessible sources? Please distinguish verified facts from assumptions and provide links to the evidence.

Read the answer.

Don't worry yet about whether you like what it says.

Second, investigate the evidence.

Ask:

Which important claims about me are supported by records maintained by organizations or people outside my control? Which claims appear to originate only from my own website, biography, or other self-published material?

Examine the sources.

A citation isn't proof that the cited material supports the claim.

Open the links.

Third, look for what is missing.

Consider the experiences that made you particularly good at your work.

Think about important responsibilities, decisions, accomplishments, and lessons.

Which are represented accurately in the public record?

Which are missing?

Which are described in ways that don't reflect what actually happened?

Fourth, identify one practical correction.

Perhaps an old biography needs updating.

Maybe an article you wrote has no author attribution.

An organizational appointment might be documented elsewhere but absent from your personal website.

Or perhaps an important experience deserves to be written about for the first time.

Choose one thing you can accurately improve.

Finally, save the investigation.

Keep the date, the questions, the answers, and the sources.

You now have a starting point against which future investigations can be compared.

If you try another AI assistant, you may receive a different answer.

That's useful information too.

The point isn't to persuade every system to say something favourable about you.

It's to understand what can currently be discovered and whether the available record supports an accurate interpretation.

Where to go from there

If you don't have a personal domain, establishing one is a sensible next step.

From there, you can begin preserving original work and connecting the relevant evidence.

For professionals subject to confidentiality, advertising, or other communication rules, begin with material you're permitted to make public.

Existing organizational records and accurate professional history may provide a substantial starting point without requiring new promotional writing.

The work can develop gradually.

There's no requirement to publish every day or turn yourself into a public personality.

You're making what you've already earned easier to understand.

XIX. The Recognition Engineer's Oath

I developed a short oath to remind myself of the responsibility involved in this work.

I will document what I observe.

I will timestamp what I predict.

I will verify what I claim.

I will correct what I miss.

And I will structure my work so that truth outlives me.