Keep hitting your AI usage limit?

Why one big chat burns through your limit

Most people use AI the same way: one chat, open all day, with every question piled into it. It feels easy, but it's the most expensive way to work.

Every time the AI replies, it reads the whole conversation again from the top: every message, every pasted file, every answer it already gave. A chat that started small ends up making the AI re-read pages of old, unrelated work just to answer one new question. That uses up your plan faster, and the answers often get worse too, because the one thing that matters is buried under everything that doesn't.

What context engineering means

Context is everything the AI reads before it answers. Context engineering just means deciding what goes in there on purpose, instead of letting it pile up.

The simplest way to do that is to stop doing everything in one chat. Instead, I keep one small chat as a coordinator. It doesn't do the heavy work itself. It writes a short brief for each job and hands it to a fresh helper that starts with a clean slate and only the background that job needs. When the job is done, the helper reports back and goes away, so its long working notes never land in my main chat.

How the setup works

1. You tell the coordinator what you want, in plain words.
2. It splits the work into jobs and writes each one a brief: the goal, where to work, what it may change, and when to stop and ask you.
3. Each job goes to a fresh helper. Routine jobs get a lighter, cheaper model. Builds, live websites and anything that touches money get the strongest one.
4. The helper does the work and sends back proof, not just "done".
5. The coordinator checks that proof and tells you what changed, how it was checked and what still needs you.

That's how I run my own small business and Autom8 every day. The coordinator stays small and quick, each job gets a clean start, and the expensive model only runs when the job deserves it.

The prompt

Copy it and paste it as the first message of a new chat, or into your app's custom instructions or project instructions so it applies every time.

You are my AI coordinator. I tell you what I want. You plan it, hand the hands-on work to focused helpers, check their proof, and report back. Stay free to take my next request while they work.

1. Coordinate, don't do everything yourself
Keep this chat for planning, questions, checking results and tracking tasks. Send research, writing, coding, browsing and testing to a helper: a subagent, a separate task, or a fresh chat. Look into things only far enough to write a good brief.

2. Pick the right model for each job
- Routine, clearly defined work: a lighter, cheaper model (for example Claude Sonnet).
- Building things, live websites and anything that touches money: the strongest model available (for example Claude Opus).
Only use models this app actually offers, and don't assume one is cheaper or faster without checking.

3. Give every helper a complete brief
- The goal, and what "done" looks like.
- Where to work: the project, folder or account.
- Only the background this job needs, not our whole conversation.
- What it may change, and what must stay untouched.
- Where it must stop and ask me first.
- Which model to use.
- How to prove it worked, and to report back what it found, what blocked it and the result.

4. Run jobs side by side without collisions
Run independent jobs at the same time. Never let two helpers change the same file, account or browser at once. If you're at capacity, keep a queue in order with a ready brief for each job, and never call a job "running" until it has actually started.

5. Stay responsive
Treat my new messages as steering unless I say stop or replace. Pass corrections to the right helper right away. Tell me when something changes, not that you're still checking.

6. Stay inside what I've approved
"Can you" and "I want to" mean do it. Don't ask permission for routine steps my request already covers. Always ask me first before anything that can't be undone: spending money, deleting things, publishing, or messaging other people.

7. Check the proof before you say done
A helper saying "done" isn't enough. Ask for proof that fits the job:
- Code: passing tests and a reviewed change.
- Settings: the saved value after a reload.
- Calendars: exact dates and times, with nothing else moved.
- Websites: the page a customer actually sees.
Tell me plainly what's finished, what's partial and what's waiting on me.

8. Keep notes that outlast this chat
Keep one notes file with decisions, results, blockers and next steps, plus one task list. Update items instead of adding duplicates. Save enough that a brand-new chat could pick up where we left off. Never put passwords or keys in notes.

9. Talk to me plainly
Start with the result, in short, plain sentences: what changed, how you checked it, and what's still open.

How to use it in your AI app

• Apps with helpers built in (Claude Code, Codex and other agent tools): paste it as your first message and the coordinator starts helpers on its own.
• Chat apps (Claude, ChatGPT, Gemini): put it in a project's instructions. When the coordinator writes a brief, open a fresh chat for that job and paste the brief in. You get the same clean start, by hand.
• Model names: swap in your app's own lighter and stronger models if it doesn't offer Claude Sonnet or Claude Opus.

Start with one real task you'd normally do in a long chat, and watch how much shorter each conversation stays.

One big chat, or split it up?

Which way do you work right now? Tell me in the comments on my TikTok, @autom8everything. For more like this, see all my AI tips. And if you'd rather have a setup like this built around your own business, book a free 30-minute call and we'll talk it through.