Field notes from the Age of Abundant CognitionBuild e803381 · 2026-09-25
Ryan HunterGet Ryan Hunter Daily

Agency · a seven-minute explorable

Cognition is becoming abundant. Agency isn't.

Machines can now think for almost free. So why hasn't your life gotten easier? Scroll through the answer: what you can see, what you can actually cause, and the gap between them.

Before the scroll · the definition

What is agency?

How effectively an actor closes the loop from intent → intervention → evidence → adaptation. Not the same as power (what consequential transformations are available), capability (can it do X), authority (is it permitted), influence (how much it changes others) or control (how reliably it steers). You can have huge power and poor agency, or high agency in a tiny domain.

Not motivation. Not autonomy alone. Not efficiency.

It depends on ten things at once, and AI affects each of them differently.

  1. Intent erodes

    Do you know what you want, and does it hold still long enough to act on?

    A model can lay out a dozen futures in a minute. It can't want one for you, and the flood of new options makes the target move more, not less.

    The move: Pick the target yourself and write it down. Then let the machines work toward it.

  2. Epistemic expands

    Can you see what's actually happening, and how wrong is your picture of it?

    Expands the most. You can see more routes, more options and more of how things work than anyone could a few years ago. It also hands you confident pictures that are wrong.

    The move: Check the picture against the real source before you act on it.

  3. Intervention expands

    What can you actually do to reality, how precisely, and how badly can it go?

    What you can actually do exploded: write, code, research, design, analyze, operate. Precision didn't come with it, and neither did knowing which action moves the result.

    The move: Find the one action that changes the outcome, and spend the new reach there.

  4. Resources mixed

    What can you spend, and which of it is scarcest?

    Labor and compute got cheap: work that needed a hire now costs a few dollars. Money, relationships and trust didn't move. Your attention became the scarcest thing you have, and AI spends it by default.

    The move: Measure what one minute of your attention causes, and guard it.

  5. Coordination mixed

    How many things can move at once without routing everything through you?

    You can run ten things at once now. By default all ten route through you, and you become the bottleneck.

    The move: Give each agent the intent, the context and the limits up front, and have it bring you only the exceptions.

  6. Institutional flat

    What are you allowed to do, and who recognizes it?

    Unchanged. No model can give you permission, standing, a contract or a license. Agents raise the stakes: they will act on permission you never gave.

    The move: Grant authority on purpose, in writing, and keep what you want separate from what you've allowed.

  7. Temporal mixed

    How fast can you act, and how long does what you do last?

    Speed went up by orders of magnitude. Staying power didn't: the model forgets when the conversation ends, and most of what it produces evaporates.

    The move: Store what worked somewhere that lasts: a method, a file, a checklist, a receipt.

  8. Feedback erodes

    When you act, how quickly do you find out what it did, and do you learn from it?

    More output, less finding out what it did. A draft isn't an outcome, and a finished task isn't proof that anything changed.

    The move: Build agents that read the real result back, and look before you call it done.

  9. Reliability erodes

    When you try, how often does it actually happen the way you meant?

    Long chains break more often than they look like they will. Ten steps that each work 95% of the time fail four times in ten.

    The move: Shorten the chain, and check the work between the steps.

  10. Amplification expands

    What does it cost you to do it again, a thousand times?

    Doing it again got almost free: copy it, send it, run it a thousand times. Mistakes got the same discount. A bad rule runs a thousand times as easily as a good one.

    The move: Make it work once, verified, before you let it run a thousand times.

Agency is only as strong as the weakest link in the loop. Cheap cognition strengthened some links enormously: what you can see, what you can do, how fast and how often. It left the rest where they were, or wore them down: what you want, what you're allowed to do, whether you find out what actually happened. So thinking got almost free, and agency didn't follow automatically. The moves above are how you make it follow.

1 · What you can see vs. what you can cause

There are three futures, and you live in the smallest one.

Three nested cones opening upward from a point marked nowThe widest cone is every future that is truly reachable. Inside it, a narrower cone holds the futures you believe are reachable. Inside that, the narrowest cone holds the futures you can actually cause.futurepastwhat's truly reachablethe gapZnowwhat you can seewhat you can cause
The actual coneThe epistemic coneThe effective cone

Here's you. Now. Physicists draw a moment like this: a point, the past trailing below it, and above it a cone of every future that can still be reached from here.

Most people think there's one cone. There are three.

The actual cone

Every state truly reachable from the current world under the actual laws, resources, actors and institutions. Nobody knows it perfectly; strategy always runs against a model of it.

Every dot is a future. A different job, a finished book, a company, a Tuesday that goes differently.

The epistemic cone

Inside it: the futures you believe are reachable. Your map. Everything you'd ever plan for lives in here, because you can't aim at a future you can't picture.

The effective cone

And inside that, the small bright one: what you can actually cause, with the skills, permissions, money, people and hours you have right now.

That's your agency. Not what you know. Not what you could imagine. What you can move.

The future you can't see

Say reality has a path from here to Z. Somebody knows a trick you don't. Z is real; it's in the big cone. It just isn't on your map.

So "that's impossible" is almost never true. The honest sentence is: "I don't know a path to that yet." The first one ends the conversation. The second one is a to-do: search, ask someone, find out, run a test.

What AI actually did

Cheap machine intelligence blew your map wide open. Ask a model anything and you can suddenly see routes you never knew existed. Z is on the map now.

Your bright cone grew too, but less, and only where you acted on what you saw. The difference is the gap. It's why you can feel more capable than ever and still be stuck on the same things as last year.

Five ways to widen the bright cone

"I can do more now" hides five different things. Name which one you're missing:

  1. A route. Someone shows you a path you couldn't see. (widens your map)
  2. A capability. You learn to do the thing, or get a tool that does it.
  3. A permission. You're allowed to act: the role, the sign-off, the license.
  4. Resources. The money, time or materials the path costs.
  5. Coordination. The other people moving with you.

The first widens what you can see. The other four widen what you can cause. They are not the same fix.

2 · Where agency is stored

A book is frozen agency.

  1. Years of someone's lifefailures, conversations, experiments
  2. writingsymbolic transduction · cognition → persistent representation
  3. A booka carrier: stored agencyon a shelf · ten years · nothing happens
  4. publishingreplicative transduction · one intervention → many interventions
  5. A million copiesthe same book, on a million shelves
  6. readingmemetic transduction · cognition → other minds
  7. Your picture of the worldone route you didn't know about
  8. decidingdecisional transduction · model + preferences → intent
  9. Your decision
  10. doingphysical transduction · information and energy → material state change
  11. A changed world

Somebody spends twenty years figuring something out. The failures, the conversations, the experiments, the nights it didn't work.

All of that lives in one head. When that head stops, it's gone.

Writing converts it

Then they write it down. Writing is a converter: it turns thinking, which evaporates, into a thing that lasts.

The book is a carrier. It holds the potential to change what someone can do. Not the author's life. A compressed shape of what their life taught them.

And then it waits

A carrier can sit for ten years and do nothing. The agency is in there, frozen, waiting for someone who can unlock it.

Publishing copies it

Publishing converts one intervention into a million. Same words, a million shelves. Publish once and distribute to millions.

Reading unlocks it

Then you read it, and a route that was invisible to you becomes visible. Nothing in the world moved. Your map did.

Deciding and doing spend it

You decide. You act. The world is different. Twenty years of someone else's search, spent by you on a Tuesday.

That's the whole trick of civilization: somebody pays for the discovery once, and everyone after gets it cheap.

Every arrow here is a transducer: something that turns agency from one form into another. Writing, publishing, reading, a team, a contract, money, code, an AI model.

Books are one carrier. Agency is stored everywhere you've put effort that outlasts the moment. Where is yours stored, and where is it leaking?

Ephemeral

  • attention
  • working memory
  • current intention
  • physical energy

Persistent symbolic

  • writing
  • models
  • specifications
  • methods
  • code

Economic

  • money
  • credit
  • property
  • inventory

Capability

  • skills
  • tools
  • machines
  • models
  • APIs

Social

  • trust
  • relationships
  • audience
  • reputation

Institutional

  • roles
  • authority
  • rights
  • contracts
  • licenses
  • commitments

Organizational

  • teams
  • processes
  • culture
  • decision structures

Carriers store it.Converters change its form.Amplifiers multiply it.Controllers aim it.Actuators make it real.Sensors bring the results back.

3 · The agency gates

Why that book didn't change your life.

A beam of light from a book passes down through eight gates; each gate narrows itwhat the book could doAccess100%Recognition100%Decoding100%Comprehension90%Applicability70%Capability40%Authority8%Execution50%what actually changes: 1%

Weakest gate: Authority. That's your ceiling.

Here's everything a great book could do for you, pouring down from the top. Between the page and a changed life there are eight gates. The light has to get through all of them.

  1. Access. It reaches you.
  2. Recognition. You know it's for you.
  3. Decoding. You can read its language.
  4. Comprehension. You rebuild the meaning.
  5. Applicability. You see where it fits your life.
  6. Capability. You can do what it describes.
  7. Authority. You're allowed to.
  8. Execution. You actually do it.

Hand it to an alien

Give a visitor from another planet every book humans ever wrote, on one drive. They don't know what the drive is, or electricity, or English, or books.

One gate is shut. It doesn't matter how open the others are. The agency they received: about zero.

Now give them a translator

A machine that turns the drive into their own language and their own ideas. Suddenly the light pours through.

Nothing on the drive changed. The coupling changed: how well the reader could connect to what was already there. That's what AI models are for most people. The cheapest translator in history.

Now you

You read the book. You understood it. You even agreed with it. Top four gates, wide open.

Then: could you actually do it? Were you allowed? Did you? The gates multiply. A strong page times a shut door is a shut door. Your weakest gate is your ceiling, not your strongest one.

Your turn

Think of the last thing you read that you knew was right and that changed nothing. Set the gates.

Your ceiling: Authority.

Name the one person who has to say yes. Ask them this week, in writing.

4 · The loop

Ten moves. The last one lights the rocket.

A loop of 10 operators: Orient, Value, Imagine, Causalize, Intervene, Observe, Update, Acquire decoders, Persist, Recursethe loop,on the loop"I don't know how."OrientValueImagineCausalizeInterveneObserveUpdateAcquiredecodersPersistRecurse

Books, models, mentors: all carriers. What turns them into a changed life is a loop you run. Here it is, seven moves:

  1. Orient. Form a usable model of "where am I, and what's happening?"
  2. Value. Distinguish what I care about and what I'd prefer.
  3. Imagine. Represent states that don't exist yet.
  4. Causalize. Ask what would have to become true for that.
  5. Intervene. Turn one part of the causal frontier into an actual attempt.
  6. Observe. Distinguish what happened from what I hoped would happen.
  7. Update. Change the model or the intervention rather than defend the story.

Then you hit a wall

You go to intervene and you don't know how. The paper is in Japanese. The tool has no manual. The person who knows won't answer.

Most people stop here. So do a lot of AI agents: they hit something they don't know and either make something up or quit. Then someone else has to come restart the loop.

Unless you've got two more moves

  1. Acquire decoders. When blocked by ignorance: learn, ask, research, recruit, tool up.
  2. Persist. Keep enough state that an interruption doesn't reset the whole process.

"I can't read Japanese" becomes: translation exists → a model can translate → the physics is still confusing → ask for what to learn first → learn it → come back.

You never needed Japanese. You needed a way to borrow a bridge across it.

Recurse

Apply the same process to the limitations of the process itself.

"I don't know how" becomes "what would let me learn how?" And when that stalls: "who or what could teach me to learn it?"

That's the threshold. Below it, someone else has to keep restarting your loop. Above it, almost every block turns into another problem you can solve.

You can run these today

They're not magic prompts. They're handles on the loop. Paste one into any model when you're stuck:

  • OrientI don't know enough about this problem to know what questions matter. Help me map the space first.
  • ImagineHelp me distinguish my current state, what feels wrong, and several possible better states without choosing for me.
  • CausalizeRepresent the outcome causally and stop decomposition when we reach something I can actually do.
  • ObserveWhat observable evidence would discriminate between these hypotheses?
  • Acquire decodersTell me what prerequisite decoder I'm missing.

5 · The last row

Every era cut one cost. One row is still empty.

  1. 01StoreBooksKnowledge outlives the person who found it.
  2. 02FindSearch enginesYou can locate it.
  3. 03AccessThe internet and phonesIt's in your pocket.
  4. 04DecodeLanguage modelsIt comes out in your language, at your level.
  5. 05ActAgents and toolsSomething can do the steps for you.
  6. 06Coordinate + persist????Keeping it all aimed, remembered and moving, across people, tools and time.

Remember the twenty years inside the book? Civilization is a machine for not paying that twice. Someone pays for the discovery once; everyone after inherits it.

Every big technology made inheriting cheaper. Books stored it. Search found it. Phones put it in your pocket.

Language models cut the cost of decoding: the right idea, in your words, at your level. Agents are starting to cut the cost of acting on it.

So the headline isn't "AI is powerful." Everybody's heard that. It's this: you just got the cheapest translator ever built for everything humanity figured out, and most people haven't learned to plug themselves into it yet.

The row nobody's built

Nobody has cut the cost of keeping it together: holding the goal, remembering what worked, keeping five tools and three people and a month of effort pointed the same way.

That row is still yours. Which means it's where most of your agency leaks, and where the biggest edge is.

6 · Your move

Don't leave with a better map. Leave with a move.

Pick one thing you want that hasn't happened yet. Ask one question:

Can I not see a path, or can I not take it?

“I can't see a path.”

Then it's off your map, not out of reality. Don't say impossible. Say "I don't know a path yet," then go find one. Paste this into any AI model:

Represent the outcome causally and stop decomposition when we reach something I can actually do.

“I can see it. I can't take it.”

Then name what's missing: a skill, a permission, the money or time, or the people. Find your weakest gate. Fix that one, and only that one.

Set your gates again ↑

Tomorrow, do it again with the next thing. That's the loop, and that's the whole game:

Expand what you can actually cause.

Get Ryan Hunter Daily

Every morning: one field-tested idea, tool or case to help you make better decisions, build faster, delegate more safely, compound your work, and make real things with AI.

Unsubscribe anytime. Privacy.