The one action: open the custom instructions box in the A.I. you use most and cover five durable things. What you're optimizing for, how to talk to you with a test attached, where the truth lives, what it can and can't change, and when to stop and come back to you. Then rerun something you already asked this week and read the two answers side by side.

Context Training in its smallest form: teaching A.I. the world it needs to understand before it does the work. This box is the first inch of it, it's free, and it's the difference between a tool that guesses at the top of every chat and one that starts from you.

What stays out of that box: the launch, the client, the quarter, this week's deck. That's project context, and it belongs in its own container.

The five, all durable, none of them biography:
- What you're optimizing for, the goal every answer gets judged against
- How you want it to talk to you, and give it a test, not an adjective
- Where the truth lives, and what to read first, so it stops inventing what it could look up
- What it can change and what it can't, with the reason attached
- When to stop and come back to you, the moments you'd rather it halt than confidently keep going

Who this is for: anyone who still re-explains themselves at the top of every conversation and is tired of paying that tax.

Get the template, a filled example for every line, what to keep out of the box, and where the box is hiding in ChatGPT, Claude, and Gemini: seedandsociety.com/context. You'll get every week's action in your inbox too.

Most people pick one A.I., usually whichever one they heard of first, and use it for everything. That's like owning one tool and treating every job as a nail. They're all free to try, and each one is better at something different. Here are the five I'm in almost every single day, and what I actually use each one for.

The five, and the job each one does best:
- ChatGPT: the everyday workhorse, for thinking out loud, brainstorming, first drafts, moving something forward fast
- Claude: the one for your voice and anything long or careful, real writing and documents that have to sound like you
- Perplexity: a real answer to a real question with the current sources cited, no ten blue links to dig through
- Gemini: lives inside Google, handles enormous amounts of information at once, and holds the image model people call Nano Banana, make or edit a picture from a sentence
- NotebookLM: upload your own notes, PDFs, or documents and it turns them into an audio overview, a podcast about your own material you can listen to on a walk

Your action for today, and it costs zero dollars: open one A.I. you've never actually used. Hand it the exact same task you already gave your usual tool today, the same question or draft. Put the two answers side by side and read them. One new tool, the same job, five minutes. The whole game is using the right tool for the thing instead of forcing one tool to do everything.

Who this is for: anyone who still runs everything through a single A.I. and suspects they're leaving leverage on the table.

Want the shortcut? The cheat sheet has all five tools, what I use each one for, and my go-to opening move for each. Grab it at seedandsociety.com/tools, and you'll get every week's action in your inbox too.

If you've used A.I. on something with your name on it, you've had the thought: how much of this is still mine. This is the honest answer, walked all the way through. What the machine did, what I did, and where the line is and why it doesn't move.

Context Training: teaching your A.I. your world, your documented voice, worldview, corrections, and evidence, so what it produces starts from you instead of from everyone. It's the reason drafting comes back sounding like me, and it's the argument the book makes about itself.

In this episode:
- The two bad versions of this conversation, one on each side
- What the raw material actually is, and why it can't be generated
- The drafting step, said plainly, with no hedging
- The verification step people skip, and the research that cut against my own argument
- Where the line sits, and why it's a rule instead of a feeling
- Why "could you do it without A.I." is the wrong question, and agency is the standard, not independence
- Why A.I. didn't skip me past the learning, it got me to the learning

Who this is for: anyone with their name on work A.I. helped make, who has quietly wondered how honest to be about how they work.

The book, Context Training: The Number One Skill in A.I. Teach A.I. Your World So It Stops Guessing and Starts Working for You, is at seedandsociety.com/book.

For weekly ideas on making A.I. genuinely useful in your world, join the newsletter at seedandsociety.com/newsletter.

You built a system so you would stop being the person everything runs through. Then, without noticing, you rebuilt the office around it: titles, a place for the work to be handed off, an approval on everything before it moves. Same life, new staff. Here is how to catch it.

Context Training: teaching your A.I. your actual business so it can own an outcome instead of guessing at one, and reading your existing process as evidence of what really matters, not as law you have to preserve.

In this episode:
- Why your existing process is evidence, not law, and how to tell the difference
- What an office actually solves, and why none of those problems exist in what you are building
- The three ways people copy the org chart without noticing
- What it looks like with the handoffs gone, with real numbers
- What genuinely survives: roles, real sequence, and approvals where being wrong is expensive
- What being in charge actually is
- A ten-minute check you can run on one thing you have already automated

Who this is for: founders whose business runs through them, professionals who want to be the one on their team who actually knows how to use this, and anyone who opened their first A.I. tool last week and does not know what to point it at.

The book, Context Training: The Number One Skill in A.I. Teach A.I. Your World So It Stops Guessing and Starts Working for You, is at seedandsociety.com/book.

For weekly ideas on making A.I. genuinely useful in your world, join the newsletter at seedandsociety.com/newsletter.

You take a process you already understand, hand it to A.I., and ask it to perform that process back to you. Then you wonder why it feels slower and stranger than it should. The better question, the one that changed how I build, is whether you are thinking agentically at all.

Context Training: making the implicit knowledge behind your work, the intent, history, judgment, people, standards, and current reality, explicit enough to travel into a new role, across a team, or into the A.I. system helping you. It is a communication practice, with A.I. and with yourself.

In this episode:
- Why a human work collaboration tool was my first instinct for coordinating my A.I. employees, and the question that stopped me
- How to catch yourself fitting A.I. into an inherited human process instead of starting from the outcome
- Why a shared, current foundation matters across your tools and your A.I. employees
- The genesis distinction I keep correcting: a model begins in language, a human begins in feeling and relationship
- How my context-trained co-author A.I. employee helps me develop the book
- What thinking agentically actually means, and how Context Training connects to The Connector Method
- What I hope all this new capacity makes possible

Who this is for: professionals, teams, and founders learning to make A.I. genuinely useful in their own world.

The book is called Context Training: The Number One Skill in A.I. Teach A.I. Your World So It Stops Guessing and Starts Working for You. It arrives September 4. The book page is at seedandsociety.com/book.

For weekly ideas on making A.I. genuinely useful in your world, join the newsletter at seedandsociety.com/newsletter.

Five hours a week, more than a hundred pieces of content, and I still have a demanding full-time career. This episode is the honest math: what those five hours actually contain (a half hour most days reading what my A.I. employees shipped and showing up as a human on social, plus one focused two-hour block to set the week), why my hours steer instead of fuel, and why a full calendar no longer disqualifies you from building something of your own. I'm Makeda Boehm. I do this in the margins of a demanding job, on purpose, so you can see it's possible in the margins of yours.

In this episode:

- The morning I read my business like a newspaper someone else printed overnight

- The honest picture: a demanding full-time role, a seven-figure quota, and five hours for this

- Exactly what the five hours contain, with no rounding in my favor

- Why hours-in-equals-results-out expired, and what a workforce changed

Who this is for: the person with a full calendar who keeps saying they'd start if they only had the time.

Prefer the weekly version? Get the Sunday newsletter at seedandsociety.com/newsletter.

Somewhere in your inbox, right now, a lead is quietly dying, and it was never a discipline problem. Follow-up is memory work, and memory work is exactly what an A.I. employee does better than the busiest person in your company. I'm Makeda Boehm. My own booking agent drafted 107 personalized pitches in minutes, and then my system pumped the brakes on itself, on purpose. Both halves of that story are the lesson.

In this episode:
- Why the fortune-is-in-the-follow-up advice never fixed anything
- The honest math on C.R.M. reminders, templates, and discipline plans
- The four memory jobs hiding inside "follow-up," and who's currently assigned all of them
- The boundaries that make a relationship-touching employee safe
- The six-month silence count: how to measure your own leak today

Who this is for: the owner with warm conversations going quiet and a drafts folder they've stopped opening.

Take the free AI Employee Report: eleven questions, about three minutes, and it names where your business is leaking money, time, or options, plus your first move. Take it at audit.seedandsociety.com/?src=podcast

Prefer the weekly version? Get the Sunday newsletter at seedandsociety.com/newsletter.

You've used electricity your whole life without explaining a power grid, and A.I. vocabulary should work the same way. This is your plain-English catch-up on the two terms everyone keeps saying: M.C.P. (your A.I. gets hands into your software) and agent-to-agent (your A.I. workers pass the baton without you in the middle), plus the one sentence that matters more than both definitions.

In this episode:
- The advisor-with-no-hands picture, and what changes when it gets hands
- The universal adapter, a second way to see it
- The relay race: why you've been the baton, and how that ends
- Why the doors are neutral and the knowing is your job
- The principle that outlives every acronym

Who this is for: the sharp business owner who's been nodding along at A.I. jargon and quietly concluding it's not for them.

Take the free AI Employee Report: eleven questions, about three minutes, and it names where your business is leaking money, time, or options, plus your first move. Take it at audit.seedandsociety.com/?src=podcast

Prefer the weekly version? Get the Sunday newsletter at seedandsociety.com/newsletter.

Everything you've taught your A.I. might live in someone else's building, and the day that platform changes its rules, you start from zero. This episode is the ownership layer nobody's teaching: your business's context as an asset you own, in plain files any A.I. can read, portable across every tool. I'm Makeda Boehm, and I've stress-tested this for real, through actual platform moves, without my A.I.'s knowledge of my business ever blinking.

In this episode:
- Renting intelligence vs owning context, the distinction that decides everything
- What surviving multiple platform moves without starting over feels like
- Why the load-bearing knowledge belongs in files you own, and what can safely rent
- The owner's job that comes with owning
- Your context as the newest asset class on your balance sheet

Who this is for: the owner hundreds of chats deep into one platform, building memory they can't take with them.

Take the free AI Employee Report: eleven questions, about three minutes, and it names where your business is leaking money, time, or options, plus your first move. Take it at audit.seedandsociety.com/?src=podcast

Prefer the weekly version? Get the Sunday newsletter at seedandsociety.com/newsletter.

Every big decision in a solo business gets made by a committee of one, usually tired, usually at night. This episode is how I gave my business a board of directors for zero dollars, one that argues with itself using my real numbers, and always hands the decision back to me. I'm Makeda Boehm, nearly $10M closed in tech sales, and my whole business runs on A.I. employees built on one foundation.

In this episode:
- Why unchallenged decisions, not bad ideas, are the expensive ones
- Executor mode vs examiner mode, the A.I. shift almost nobody makes
- The five seats at my board's table and what each one argues
- The rule that keeps the judgment yours: the board examines, you decide
- Which decisions never go to the board at all

Who this is for: the owner carrying every major call alone.

Take the free AI Employee Report: eleven questions, about three minutes, and it names where your business is leaking money, time, or options, plus your first move. Take it at audit.seedandsociety.com/?src=podcast

Prefer the weekly version? Get the Sunday newsletter at seedandsociety.com/newsletter.