The library
45 videos, grouped by the constraint they answer rather than the order they went up. 1 live so far.
The current run is mostly about AI, because that is where the constraints are newest and the advice is worst. The groupings are older than that and will outlast it.
What only you know
The connective knowledge senior people carry and never write down — sequence, dependency, who actually decides. The hardest thing to hand to anyone, and the most valuable thing to get out of your head.
Your value is the dependency graph, not the knowledge. The graph fits on a page.
The steps
- List the ten things you're responsible for. Names only.
- Draw arrows between them — not what they are, what breaks what.
- Push to second order: if A affects B, what does B affect?
- Mark pairs with a required sequence.
- Mark every edge only you know about.
What ruins it: Describing what each thing is. That's knowledge, and it's infinite — you'll fill ten pages and quit.
- Why nobody senior ever writes it downPublishes Sep 12
The barrier to documenting institutional knowledge is not difficulty. It is that being undocumented is what makes you indispensable.
The steps
- Write it down anyway, and know why you didn't want to.
- Undocumented knowledge is perfectly secure and completely un-backed-up.
- Start with the five things that would cost most if you vanished.
- Write the structure, not the procedures.
- Document to be portable, not replaceable.
What ruins it: Waiting until you're leaving. The version written under pressure is the worst one you'll ever produce.
- It sounds either obvious or paranoidPublishes Sep 17
Institutional knowledge resists documentation because on the page it reads as trivial or unhinged - the context that makes it judgement will not transfer.
The steps
- When it sounds obvious, you've written the what.
- When it sounds paranoid, you've written the what without the why.
- Write the when instead.
- Not 'never touch that' — 'if you're about to change this, ask why it's like that.'
- The trigger is the transferable part.
What ruins it: Writing rules. On the page a rule reads as either banal or superstitious, because the judgement fell out.
- Two steps downstream is the whole jobPublishes Sep 22
Senior effectiveness is largely the ability to see second-order consequences, and it is invisible in every measurement system.
The steps
- Notice the moments you prevent something. They leave no record.
- Keep your own list of them for one month.
- You'll be surprised how many there are.
- That list is the shape of what you actually do.
- It's also exactly what vanishes when you leave.
What ruins it: Assuming the work is visible. Prevented problems produce no evidence, so activity-based measures can't see them.
- The org chart is not the decision mapPublishes Sep 26
Knowing who actually decides, versus who the chart says decides, is a large share of senior effectiveness and the hardest thing to transfer.
The steps
- Draw the org chart. Then draw the decision map beside it.
- Who must hear it first or they'll unwind it later.
- Whose approval is required and functionally automatic.
- Who has no formal authority and can stop everything.
- Keep it private. Write it for a successor.
What ruins it: Assuming the chart is the map. New senior hires underperform for a year rebuilding this from scratch.
- The knowledge that only exists in one placePublishes Oct 1
Every organisation runs on a small set of facts held by exactly one person, and nobody has an inventory of which facts those are.
The steps
- Imagine you're unreachable for two weeks. Not gone — unreachable.
- Walk through the week and ask what stops entirely.
- Not what slows. What stops, because only you know something.
- Most people find three to eight.
- Write up the top three.
What ruins it: Doing a documentation audit instead. The two-week test finds single points of failure faster and takes five minutes.
- AI advice assumes your job is tasksPublishes Oct 5
Nearly all productivity advice is written for individual-contributor task work; senior roles are connective, and the mismatch is not a personal failing.
The steps
- Stop applying task-shaped advice to connective work.
- Your work is routing, sequencing, and noticing consequences.
- Ask for structure and consequences, not completion.
- What breaks downstream. What has to move first.
- Who needs to know before this is announced.
What ruins it: Concluding the tools aren't for you. The advice was aimed at a different kind of job.
- Sequence is knowledge tooPublishes Oct 6
Knowing the required order of operations is separate from knowing the operations, and it is almost never documented anywhere.
The steps
- Write the ordering constraints as a list of pairs.
- This before that — and one line on why.
- Which approvals precede which announcements.
- Which group hears it first, and what happens if they don't.
- One page, one hour.
What ruins it: Documenting steps without ordering. A competent person follows the procedure perfectly and still causes a mess.
- Document to be portable, not replaceablePublishes Oct 10
The fear that documentation makes you replaceable is backwards - what makes you replaceable is knowledge that stays where it cannot travel with you.
The steps
- Write the structure, not the accumulated detail.
- What depends on what, and why.
- Detail is bound to one building. Structure travels.
- It's the difference between being needed here and being good at this.
- One expires the day you leave.
What ruins it: Keeping it in your head to stay indispensable. That's leverage that expires; the written version is a capability.
- The map is worth more than the territoryPublishes Oct 15
For connective work the structural map transfers value while the accumulated detail does not - so invest in the map, not in remembering more.
The steps
- Every time you learn something, ask what kind of thing it's an example of.
- The instance stays here. The kind goes with you.
- Keep a running note of kinds, not instances.
- How to find what depends on what. How to identify who really decides.
- That note is what makes you effective somewhere else.
What ruins it: Accumulating detail. Thousands of facts about one place transfer at exactly zero percent.
When the data can’t leave
Sensitivity is not uniform, and one blanket rule is why nobody follows the rule. Classification, redaction that actually redacts, and getting work done without the protected record ever moving.
- You didn't actually redact thatPublishes Sep 8
Removing the identifier is not redaction if the value can be reconstructed from what remains.
The steps
- Before pasting, ask a different question.
- Not: did I remove the identifier.
- Ask: could someone rebuild it from what's left?
- Check dates, locations, ranges, titles — in combination, not one at a time.
- If the answer is maybe, generalise one more field and ask again.
What ruins it: Checking fields individually. Three harmless fields together can point at exactly one record.
- Nobody told you what's actually safe to put inPublishes Sep 10
The blocker is not the tool. It is that nobody gave you a rule for what you may share.
The steps
- Sort what you handle into exactly three buckets, not more.
- Bucket 1: you'd happily forward it outside your organisation.
- Bucket 2: you'd forward it after removing a few details.
- Bucket 3: never leaves, under any circumstance.
- Write two real examples under each, in your own words.
- Keep it on paper. Nobody else needs to see it.
What ruins it: Making more than three buckets. A scheme you can't recall under pressure is a scheme you won't use.
- Start with something you would be happy to emailPublishes Sep 24
The safest first use case is anything you would already send outside your organisation - that filter removes the risk entirely.
The steps
- Ask one question: would I email this outside the organisation?
- If yes, it's safe to work on with AI.
- Start with agendas, process notes, explanations of how things work.
- Stay inside that filter for two weeks.
- Widen only once the habit is automatic.
What ruins it: Judging each case fresh. You already make this call daily — reuse it instead of inventing a new one.
- Classify before you need toPublishes Sep 25
A three-tier scheme decided in advance resolves nearly every day-to-day question, because judgement under time pressure defaults to the extremes.
The steps
- Make the rule when you're calm, not when you need it.
- Three tiers, crude on purpose.
- Two or three real examples under each, from your actual work.
- Your words, not policy language.
- In the moment, ask which of three — not whether it's safe.
What ruins it: Deciding under deadline. Pressure pushes you to refuse everything or wave everything through.
- The tools that survive never touch the dataPublishes Sep 28
In constrained environments the AI work that lasts is drafting, structuring and analysis - and that is most of the value, not a consolation prize.
The steps
- List where your week actually goes.
- Notice how little of it touches the protected record.
- Drafting, structuring, explaining, comparing, preparing decisions.
- All of that is available to you right now.
- Stop waiting for access the useful work never needed.
What ruins it: Treating no-data-access as a consolation prize. It's most of the value.
- What "we don't train on your data" actually meansPublishes Sep 29
The training promise is not the promise that matters. Retention and access are.
The steps
- Ask three questions, not one.
- How long is my input retained?
- Who at the vendor can access it, and under what circumstances?
- Where is it stored, and under whose jurisdiction?
- The answers are usually in the docs, and usually fine.
What ruins it: Stopping at 'they don't train on it'. That answers about a third of what you asked.
- One rule for everything is why nobody follows itPublishes Sep 30
A blanket rule produces either paralysis or quiet corner-cutting; explicit gradation is what actually protects the sensitive material.
The steps
- If you influence policy, argue for three tiers instead of one.
- A blanket rule is calibrated for the most sensitive thing.
- Which makes it absurd for the other ninety percent.
- People stop applying it — and they stop selectively.
- If you don't influence policy, apply gradation to your own work honestly.
What ruins it: Treating a uniform rule as the safe option. It produces undifferentiated non-compliance, which puts the sensitive material at more risk.
- The redaction step is the workflowPublishes Oct 9
Treating sanitisation as an annoying prerequisite is why it gets skipped; treating it as the first step of the work makes it reliable.
The steps
- Don't paste then redact. Start from blank.
- Open a new note and write the situation in your own words.
- Generic labels, no names, only what makes the question answerable.
- Nothing was ever exposed, so nothing needs removing.
- It's also faster — you were forced to identify what mattered.
What ruins it: Treating sanitisation as a prerequisite. Prerequisites get skipped under deadline; step one doesn't.
- The thing you're avoiding is probably the safestPublishes Oct 13
People avoid the highest-value low-risk work because it feels closest to their real job, and use AI on trivia instead.
The steps
- List the writing you do that contains no protected record.
- Process notes. Onboarding material. Explanations of why things are done.
- Notice that it's also your slowest, most valuable writing.
- Start there, not with the trivial safe stuff.
- Sort by what the data is, not by how much the work matters.
What ruins it: Using AI only on trivia. Perceived risk tracks importance, not sensitivity — and that instinct is backwards.
- What you are allowed to carryPublishes Oct 16
Permission questions are usually asked about tools when the answerable question is about material - and the material question has a clear answer.
The steps
- Stop asking whether the tool is approved.
- Ask whether this specific document may leave your systems.
- Ask what categories may go to a third party under existing agreements.
- Those questions have owners and real answers.
- The tool question mostly dissolves once you know.
What ruins it: Asking about tools. Approval depends on unbounded use, so you get a hedge and nothing moves.
- Aggregation is the risk nobody reviewsPublishes Oct 26
Individual disclosures are reviewed one at a time while the risk accumulates across them - and nothing in most processes looks at the accumulation.
The steps
- Keep your own running sense of what has already gone out.
- Before each disclosure, ask the question nobody in the process asks.
- Not: is this one fine.
- Ask: is this fine given everything already sent to the same place?
- Five seconds, and nobody else in the chain is doing it.
What ruins it: Relying on the review process. It assesses each request in isolation; the risk accumulates across them.
When the tool is blocked
The request was denied, the version you have is the wrong one, the environment has a quirk no instructions account for. The route around the wall is almost always unglamorous and almost always open.
- The export is never blockedPublishes Sep 9
Live integration and static export are governed differently, and the export route solves most problems people wait quarters for.
The steps
- Stop asking whether the integration can be approved.
- Ask what you're permitted to export by hand.
- Export it, work on it, bring the result back yourself.
- It doesn't scale and requires you present. That's why it's approvable.
- Ask what you may carry, not what you may connect.
What ruins it: Waiting for the pipe. A standing connection runs unattended — that's the thing that's hard to approve, and should be.
- Read access and write access are different fightsPublishes Sep 11
Organisations that permit AI to read often forbid it to write, and designing for read-only from the start ships years earlier.
The steps
- Design the read-only version of the workflow first.
- It reads the thread and tells you what was decided.
- It reads the document and tells you what's missing.
- It hands you a draft. You send it.
- You remain the thing that acts.
What ruins it: Designing a workflow needing write access. Unattended action is the actual approval risk, not comprehension.
- Your environment has a quirk nobody else's hasPublishes Sep 16
Every locked-down environment has a non-standard configuration that breaks generic tutorials, and the fix is to build one adapter rather than keep searching.
The steps
- Write down how your environment differs from the standard one.
- The separator that isn't standard. The path that isn't where paths go.
- The thing that must happen first or nothing works.
- Keep it to one page.
- Use it to translate every generic tutorial you find.
What ruins it: Searching for a tutorial that matches your setup. Your combination is close to unique — it doesn't exist.
- The workaround around the workaroundPublishes Sep 18
Layered workarounds are not failure, they are what adaptation looks like - but each layer needs to be written down or the stack becomes unmaintainable.
The steps
- List the layers in your most-used workaround.
- Next to each, write one line: why this layer exists.
- Not the process. The reason.
- Especially for the layer that looks pointless.
- That's the one someone will remove.
What ruins it: Documenting the steps without the reasons. Someone new deletes a load-bearing layer that looked redundant.
- The free tier does ninety percent of thisPublishes Sep 19
Most people are blocked on the wrong constraint - they are fighting for a licence when the free capability already covers their use case.
The steps
- List what you actually want AI to do this week.
- Check each against the free tier of a tool you can already access.
- Paid tiers mostly buy scale, integration and admin control.
- Do the work at the free tier first.
- Ask for the licence once you can show what it returned.
What ruins it: Waiting for approval before starting. You lose a quarter proving nothing.
- Right goal, wrong toolPublishes Sep 23
Most failed initiatives had a sound objective and a mismatch between the problem type and the data type - no amount of model quality fixes that.
The steps
- Name the shape of your problem before evaluating any tool.
- Matching, ranking, classifying, generating, or deciding?
- Then ask what the tool actually produces, not what the demo showed.
- If the shapes don't line up, stop.
- Keep the goal. Go find a tool that fits it.
What ruins it: Evaluating tools before naming the problem type. No amount of model quality closes a shape mismatch.
When approval is the bottleneck
Elegance needs permission, and permission is the scarce resource — not cleverness. What survives a policy review, where the audit boundary sits, and how to ask for something you can actually justify.
- The workaround that needs no approvalPublishes Sep 14
In constrained environments the workaround that survives is never the sophisticated one - it is the one that needs nobody's permission.
The steps
- Before designing, ask what needs nobody's sign-off.
- Prefer the boring reliable route over the elegant one.
- Export, convert, move by hand if that's what's open.
- Only escalate to permission when nothing else works.
- Check whether it's genuinely blocked first — it's less often than assumed.
What ruins it: Designing the elegant version. It needs permission, and permission is the scarce resource, not cleverness.
- The manual step is the audit boundaryPublishes Sep 21
The human step everyone wants to automate is often what makes the workflow defensible - automate up to it, not through it.
The steps
- Take the slow manual step everyone wants gone.
- Ask: is this slow, or is this a control?
- If slow, automate it.
- If it's a control, automate everything up to it instead.
- Prepare the decision so completely it takes ten seconds.
What ruins it: Automating through the control. You didn't just save time — you removed the evidence anyone decided.
- Ask for the tool you can justifyPublishes Oct 3
Approval is a risk decision, not a budget one. A request framed around risk reduction gets approved; one framed around capability does not.
The steps
- Name the thing that already happens in an unmanaged way.
- People are pasting into whatever they found. That's the exposure.
- Frame the request as closing that exposure.
- An approved tool with a data agreement reduces risk.
- Write it for the person signing, not the person using.
What ruins it: Framing it as a capability. To the approver, capability reads as new surface area.
- Your first win should be boringPublishes Oct 17
Choosing an impressive first use case is why most people quit; the durable habit comes from something small and repeated.
The steps
- Pick something you do every single week.
- The recurring summary. The update nobody enjoys writing.
- Do it with AI this week, and again next week.
- Each round, fix what was wrong last time.
- Six weeks in, compare it to what it used to cost.
What ruins it: Picking something impressive. Novel tasks give one result and no habit.
- Automate up to the decision, never through itPublishes Oct 20
The right boundary for automation in accountable work is the decision itself - everything before it is fair game, and that is where the time actually is.
The steps
- Find the line in your process where the decision happens.
- Everything before it: gathering, formatting, checking, assembling.
- That's where the hours are.
- Automate right up to the line. Never across it.
- The deciding takes seconds once everything is prepared.
What ruins it: Automating across the line to save time. The deciding was never the expensive part.
- The question that survives a policy reviewPublishes Oct 23
Framing use in terms of what data is involved rather than what tool is used is what makes a practice defensible when someone eventually asks.
The steps
- Think in data categories, not in products.
- Keep a note: which categories were involved, which never were.
- Record how you decided, and that the rule predated the situation.
- That's the answer a review actually asks for.
- It's also what keeps you safe in the moment.
What ruins it: Thinking in tools. A list of products is a weak answer to a question that was never about products.
- Audit-proof workflows look differentPublishes Oct 28
Auditability is a design constraint, not a documentation task added afterwards - and building for it changes the shape of the workflow.
The steps
- Decide at the start whether this work might be examined later.
- If so, record inputs as they were, not reconstructed afterwards.
- Make decision points explicit, with a named person.
- Keep what was rejected, not just what was chosen.
- None of it is slow. All of it has to be decided upfront.
What ruins it: Documenting afterwards. That describes what probably happened; only a designed workflow records what did.
When the output is generic
Rarely a capability problem. Structure, constraint and context are what got left out, and putting them back is the difference between a draft and an answer.
- It's generic because of what you left outPublishes Sep 15
Quality comes from context, not from prompt wording. The missing context is usually the part you could have shared.
The steps
- Before the request, write two sentences on the situation.
- Who reads this. What you're optimising for.
- What you already tried and why it failed.
- What would make an answer useless to you.
- Then ask the question.
What ruins it: Rewriting the prompt instead. Wording is almost never the bottleneck — missing context is.
- Move up the ladder, not along itPublishes Oct 2
AI is weak at doing your job and strong at changing the altitude of documentation - turning procedure into principle and back.
The steps
- Take a step-by-step procedure you already have.
- Ask what principle the steps imply.
- Ask what someone would need to understand before the steps make sense.
- Argue with the first answer — that's the useful part.
- It works downward too: principle to steps.
What ruins it: Asking it to do the work rather than change the altitude. Translation between levels is the thing it's actually good at.
- Structure beats accessPublishes Oct 7
When you cannot get the tool or the data in, the portable thing is the structure of the problem - and structure is not confidential.
The steps
- Separate the material from the structure of the problem.
- The material is confidential. The structure almost never is.
- Describe the decision shape with generic labels.
- Get the framework right out loud.
- Apply it to the real material yourself, offline.
What ruins it: Assuming you need both. Access looked like the requirement, but the hard part was always the structure.
- Delete your prompt libraryPublishes Oct 8
Collecting prompts is a substitute for the single habit that actually improves output: stating the situation before the request.
The steps
- Delete the prompt library.
- Before every request, say where you are.
- What this is for, who reads it, what already failed.
- What would make the answer useless.
- Thirty seconds, every time, until it's automatic.
What ruins it: Collecting more prompts. No template contains your situation, which is the part that matters.
- Compression is the metric, not time savedPublishes Oct 12
Time saved is the wrong measure because it rewards volume; compression ratio - decisions per minute of input - is what actually indicates value.
The steps
- Stop asking for summaries.
- Summaries preserve proportion — a shorter version of the same shape.
- Ask what was decided. What changed. What is now someone's responsibility.
- Ask what you'd need if you had missed the whole thing.
- Measure how much of the input survived, not how much time you saved.
What ruins it: Optimising for time saved. It rewards producing more, whether or not it was worth producing.
- Ask for the structure, not the answerPublishes Oct 14
Asking for answers puts you in the position of checking work you cannot verify; asking for structure keeps the judgement where it belongs.
The steps
- Ask for the considerations, not the conclusion.
- What questions would a reviewer ask?
- What would have to be true for each option to be right?
- You can evaluate a framework instantly.
- You cannot verify a confident answer about a situation only you understand.
What ruins it: Asking for answers. You've created a verification problem you can't solve — and it sounds equally confident either way.
- Procedures aren't playbooksPublishes Oct 19
Most organisations have step-by-step procedures and no playbook, and the missing layer is why nobody can make decisions without the one person who knows.
The steps
- Check whether you have procedures or playbooks. Usually procedures.
- Signs you're missing the layer: people follow steps and still get it wrong.
- Or nobody acts without checking with one particular person.
- Start with the situations, not the steps.
- What kinds of thing happen here, and how is each kind handled?
What ruins it: Writing more procedures. Steps tell you what to do; they don't tell you which situation you're in.
- Stop asking it to be creativePublishes Oct 21
Asking for creativity produces generic output; asking for options against stated criteria produces useful ones.
The steps
- Stop asking for creative, better, or more engaging.
- Give it a number of options and make them differ deliberately.
- Two conservative, two that would make legal nervous, one that assumes trust.
- Say what would count as wrong.
- Constraints are what make output specific.
What ruins it: Asking for creativity. It has no failure condition, so anything satisfies it — which is why everything comes back average.
- Lead with the pattern, name the tool secondPublishes Oct 22
Tool-specific knowledge decays within months while the underlying pattern persists - people who learn tools relearn constantly.
The steps
- When something works, spend one more minute on it.
- Ask why it worked, with no reference to the tool.
- Write that sentence down instead of the prompt.
- Patterns transfer to the next tool. Prompts don't.
- In two years the tool is gone and the sentence still holds.
What ruins it: Saving prompts instead of patterns. Tool-specific knowledge decays in months.
- The output is a draft, not an answerPublishes Oct 24
Treating the first output as a verdict is what produces both over-trust and abandonment; it is raw material.
The steps
- Treat the first output as a draft from someone who's never met you.
- Say what's wrong with it, specifically.
- Say what you actually meant.
- Ask again. Then once more.
- The third round is usually the useful one.
What ruins it: Accepting it or discarding it. Both come from treating the output as a verdict rather than a probe.
- The first output is not the interesting onePublishes Oct 27
The value is in the disagreement - correcting a wrong output surfaces your own tacit criteria, which you could not have stated in advance.
The steps
- Expect the first output to be wrong. That's the design.
- Correct it specifically: not that, because we can't commit to a date.
- Each correction surfaces a criterion you never stated.
- By round three you've externalised requirements you didn't know you had.
- Keep the corrections — they're the real output.
What ruins it: Accepting or discarding the first result. The disagreement is where your tacit criteria become explicit.