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terminal craft — the-multi-ai-workflow — 80x24
The Long Game

$ open the-multi-ai-workflow.md

Ninety days to a workflow that survives the next model

A thirteen-week plan for building a durable multi-AI workflow. One change per week, a log that shows what actually saved you time, and a setup that does not collapse the next time a model updates.

Price: $6.50 · one-time payment · instant access

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cat problem.md
A terminal session that drifted across seven files

Sound familiar?

Rebuilt your whole setup twice this year already?

Every release brings a wave of new advice, and it is tempting to tear everything down and start again. The cost is invisible: you never accumulate any evidence about what was working, because nothing survives long enough to be measured.

A workflow worth having is one where a model update means adjusting a few files rather than rebuilding. The only way to know which parts deserve to be permanent is to have logged them doing real work for a few months.

ls prompts/ | head -3

Sample pages

The three months

Each month has one job. Do that job, log it, and let the next month build on what survived.

phase 01

Weeks 1–4

Month One: Settle

Change nothing except adding the log. Record every AI task, the tool, the time it took and whether you had to redo it.

Use whenWeeks 1–4Pairs withMonth Two
phase 02

Weeks 5–8

Month Two: Build

One change per week, in order: skills, then review handoff, then a second tool. Never two changes in the same week.

Use whenWeeks 5–8Pairs withMonth One
phase 03

Weeks 9–13

Month Three: Harden

Write down what breaks if the model updates tomorrow. Fix the top two. Then stop adding and let it run.

Use whenWeeks 9–13Pairs withMonth Two

6 in total inside the guide

Every prompt is dated, tested on a real repository, and carries a plain note on when not to use it.

cat contents.md

What's inside

Here's exactly what the plan covers

  • How to sequence changes so each one can be judged on its own
  • Logging what actually saved time instead of what felt impressive
  • Building a workflow that survives a model version change
  • Knowing when to stop adding tools and let the setup settle
  • How to run the whole review again when the landscape shifts
contents
01 Why Setups Keep Collapsing
02 Month One: Measure
03 Month Two: Build
04 Month Three: Harden
05 Reading The Log
06 When The Landscape Shifts
why --verbose

Why ninety days

Anything shorter measures novelty. It takes about a month of ordinary work before you can tell whether a change saved you anything.

One Change A Week

Sequenced so every change can be attributed. Two at once and you learn nothing about either of them.

A Log That Argues Back

Recorded time and rework, so a setup that feels fast but produces re-dos gets caught rather than defended.

Built To Survive Updates

A structure where a model change costs an afternoon of adjustment instead of unravelling the whole workflow.

grep -n 'is this for me'

This is for you if

  • You have rebuilt your setup more than once this year
  • You want to know what actually saved time rather than what felt modern
  • You are willing to log your work for thirteen weeks

This is not for you if

  • You want results this week — this is deliberately a ninety-day plan
  • You will not keep a log. The plan does not work without it.
Yes, I want a workflow that lasts — Only $6.50

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PDF

What you get

The Multi-AI Workflow — 40-page guide (PDF)

A thirteen-week plan for a workflow that survives the next model update.

  • 40 pages6 chapters, 2026 Edition
  • 6 promptsExact wording, ready to paste
  • Instant accessEmailed the moment you buy
  • Any deviceRead on desktop, tablet or print

Pages shown are from the actual guide. Digital product (PDF) — no physical item and no software licence is included.

Everything you build on a specific model version has a shelf life.

The Multi-AI Workflow is where the system pays off. A month-by-month plan adds one change per week, a log separates what saved time from what merely felt modern, and the structure is built so a model update costs you an afternoon rather than a rebuild.

US$6.50one-time
Yes, I want a workflow that lasts — Only $6.50

Instant digital download. One-time payment of $6.50, billed securely by Digistore24. Educational material only. Results depend on your project, your model and how you apply it. Independent publication, not affiliated with or endorsed by any AI vendor.

man faq

Frequently asked questions

Is this a physical book or a digital product?

It's a digital guide (PDF). Right after purchase you get an email with a secure link to download it instantly. Nothing is shipped.

Is this official, or connected to Anthropic?

No. Terminal Craft is an independent publisher with no affiliation to, endorsement from or sponsorship by Anthropic or any other AI vendor. Claude and Claude Code are trademarks of Anthropic PBC. This guide is our own field notes on using those tools well.

Does this include software, a licence or a subscription?

No. You need your own tools and your own account. This is written material: prompts, patterns and workflows you paste into whatever you already use.

AI changes constantly. Will this be out of date next month?

Every guide is dated on the cover as the 2026 Edition, and each one includes a chapter on what tends to change between versions and how to adapt a prompt when it does. The patterns outlast the version numbers; the specific outputs will not, and we say so plainly rather than pretending otherwise.

Do I need to be an experienced developer?

You need to be comfortable running a coding agent on your own project. The prompts are written in plain English and explained, but they assume you already have a codebase you're working on.

What if it isn't for me?

You're protected by a 60-day money-back guarantee. If it doesn't help, email us within 60 days for a full refund. No questions asked.

Build something that outlasts this model

Get the thirteen-week sequence, the time log and the hardening checklist. Stop rebuilding your workflow every release.

Yes, I want a workflow that lasts — Only $6.50

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