Field notes · The artifact laneThe Shelf
The pitchOther prompt libraries give you 50 prompts. The Shelf gives you 10 — each anchored to a value that survives the next model release.

The rest of this practice teaches what to understand and what to value. The Shelf is what you take home to use tomorrow — working prompts, custom GPTs and Gems, Claude Projects, IDE configurations, agent templates.

Plate I · Five artifact typesSame brain, multiple platforms

The taxonomy

Five types. One brain, ported across each.

  1. 01
    Prompts

    universal — paste into any chat

    Plain text. Works in Claude, ChatGPT, Gemini, Copilot — the lowest barrier, and the one every other artifact in this lane compresses down to when a platform disappears.

  2. 02
    Custom GPTs & Gems

    OpenAI’s and Google’s packaged assistants

    A system prompt, a knowledge file, and a tested set of instructions — bundled so a colleague can open it and start, without reading the prompt first.

  3. 03
    Claude Projects

    preloaded context, on the Anthropic stack

    The same brain as the GPT and the Gem, reassembled for Claude — custom instructions plus the reference files it needs, already loaded.

  4. 04
    IDE configurations

    CLAUDE.md, .cursorrules, command sets

    For developers: the same discipline expressed as files a coding agent reads directly, in Cursor, Claude Code, or Windsurf.

  5. 05
    Agent templates

    a reference implementation, not a snippet

    For builders running the Claude Agent SDK, the OpenAI Agents SDK, n8n, or Make — the highest-effort tier, and the one that ages fastest.

Same brain, multiple platforms
The rule
A hero artifact ships in two or three platform variants where it can — the same prompt as a GPT, a Gem, and a Claude Project.
Why
When a vendor gets gated or a platform changes underneath you, a fallback already exists.
What this is not
Not a prompt dump. Quality and anchoring beat quantity — ten anchored artifacts over a hundred unanchored ones.
Plate II · The Starter shelfFive prompts, live now

Free, in full

Five prompts. One per value.

Five doctrine values, five working prompts — platform-agnostic, copy-button ready, genuinely useful whether or not you ever read the doctrine behind them. Each one carries a “last verified” date; artifacts are the highest-velocity layer of this stack, and a stale date is a signal, not decoration.

The Sign-Off Prompt
Human accountability over delegated trustLast verified 2026-08

Before this document, decision, or deliverable moves forward, answer these four questions in writing — plainly, no hedging: 1. Who is the named person taking ownership of this — by name, not "the team," not "AI-assisted"? 2. What did that person actually check themselves, and how? Name the specific thing they looked at. 3. What is this person accountable for if it turns out wrong — and do they know that going in? 4. If someone asks "how do you know this is right?" six months from now, what is the one-sentence answer — and does it name a person? If you can't answer all four without hand-waving, this isn't ready to ship. "The AI said so" is not a sign-off. A name is.

The 3-Check Runner
Verification rituals over output volumeLast verified 2026-08

Run this on any AI-produced claim, citation, or assessment before anyone relies on it — three questions, in order, out loud if you're in a room: 1. SOURCE — What is this actually reading? Point at the specific document, record, or data source — not "the general body of knowledge." 2. AUTHORITY — Is that source the one that actually governs this decision? A source can be real and still be the wrong one. 3. OWN-EYES — Has a human who knows this area actually read it — not skimmed the summary, read the thing itself? If any answer is vague, stop. A control that can't answer these three isn't a control — it's an opinion with a timestamp. Budget three minutes per document; it's cheaper than the alternative.

The Handoff-Boundary Prompt
Boundary craft over either-side masteryLast verified 2026-08

Before starting this piece of work with AI assistance, write down the boundary — don't discover it mid-task: 1. What is the AI allowed to decide on its own, with no review? List it specifically. 2. What must a human touch before it moves forward — and who is that human, by name or role? 3. Where does the handoff actually happen — what artifact gets passed, and in what state? 4. What would tell you the boundary was drawn in the wrong place — too much human friction, or too little check? Write the boundary before the work starts, not after something goes wrong. The seam is the skill — not either side alone.

The Decision-Record Prompt
Documented intent over implicit contextLast verified 2026-08

Capture this decision in three lines, written down somewhere a colleague — or a future AI session — could find it: CHOSEN: What did we actually decide? One sentence, specific enough to act on. REJECTED: What was the real alternative we didn't pick, and why did it lose? WHY: What has to stay true for this decision to still be right? If that changes, this decision is due for review. Undocumented intent dies with the conversation it was made in. Three lines now is cheaper than reconstructing the reasoning under pressure later.

The Pilot-Scoping Prompt
Trust-paced adoption over capability-paced adoptionLast verified 2026-08

Before rolling this out past a pilot, answer these — the pace should be set by trust, not by what the tool is capable of this month: 1. TIMEBOXED — What is the actual end date of this pilot, and what happens on that date whether or not it "feels ready"? 2. REVIEWABLE — Who looks at the results, and what specifically are they checking for — not "how did it go," but what measurable thing? 3. REVERSIBLE — If this pilot fails, what does rolling it back actually involve — and have we confirmed that's true before starting? 4. The tool sets the speed it CAN go. What sets the speed it SHOULD go here — whose trust are we actually pacing to? If you can't answer "reversible" with confidence, you're not running a pilot — you're already committed.

Plate III · Practitioner and ProWhat's ahead, honestly

What’s ahead

Two more tiers. No prices yet.

Pricing isn’t decided, so none is posted here — but the contents of each tier are settled enough to describe honestly:

  1. 01
    Practitioner

    the full shelf, three platforms

    All ten hero artifacts, each anchored the same way as the five above — plus the same brain reassembled as a Custom GPT, a Gem, and a Claude Project. Same discipline, no longer just five.

  2. 02
    Pro

    the facilitator’s set

    Everything in Practitioner, plus facilitator-specific workflows, an assessment tool, and a reference template for running more than one agent at once. Built for the person running the room, not just working in it.

Get The Bench →The Bench announces pricing first — before it’s live anywhere else on this site.
Plate IV · The full benchEvery artifact starts here
Plate IV · fig. 14
The full bench, tools laid out
The full bench, laid out. Every artifact in The Shelf starts here — a tool with a name, a job, and a doctrine value it answers to.
Work with us →Or start free — the Starter shelf above, five prompts.