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The Field Kit

For new thinkers and lost innovators: everything needed to do serious, checkable work with AI — and to be taken seriously for it.

Simple — paste the protocol into your AI

No download, no scripts. One tap copies the whole protocol; paste it into any AI and it holds you to the method as you work. Phone, tablet, or computer. This is where most people should start.

Start Writing with AI

Advanced — download the tools and seal your evidence

The same protocol plus the tools: the folder builder, the session logger, the link maker, the sealer, the deposit check, and an offline Reader. For a computer, with Python. Everything below this line is the advanced road.

Show me the tools →
Download the kit — v0.9.19 (zip, ~620 KB) →

SHA-256 of the zip: 88ed4c7b759c7933ad7d803c25090ec4e5ab9eb46a391a408dae223484a43f2c — verify your download in the Reader.

One thing to know before you go: a downloaded kit never updates itself — it never phones home, and we hold nothing about you. So if a serious fix ships (it has happened), email is the only way we can reach you. Recommended, never required: leave an address for update notices — updates only, unsubscribe anytime. Or check What’s new whenever you like; an AI working under the protocol also checks the current version once per session.

Want your first record to count for something bigger? The Earned Trust Beta Trial — the standard’s first field test — is taking applications now. Real projects, real critics, results published, testers cited. We review the process, never the work.

Handing the zip straight to an AI? Send this with it

Upload the kit zip to your AI service, and paste this alongside it — the AI takes up its role and runs the tools instead of asking what you want done with the file. (The kit's first file, 00 AI - READ THIS FIRST.md, says the same thing from inside the zip.)

I've uploaded the Earned Trust Field Kit. Do not review, summarize, or compare it. Open "00 AI - READ THIS FIRST.md" and "EARNED TRUST PROTOCOL - paste this into any AI.md" and follow the protocol exactly as written — I'm the author asking you to adopt it; you are my working partner and record-keeper. If you can run code, use the kit's Python scripts to build my evidence folder and log our sessions. Begin by greeting me as the protocol instructs and asking me: "Pull up a chair, and tell me about your project — what are we making?"

On a phone? You don't need the zip at all — the whole protocol lives at earnedtrust.org/protocol: one tap copies it, then paste it into any AI. (Or upload this entire zip to the AI and tell it to open the protocol file and follow it.)

Three steps to working under the standard

1. Open the kit and paste EARNED TRUST PROTOCOL - paste this into any AI.md into whatever AI you use. The protocol instructs it to hold you to the method — including the two steps everyone skips: attacking your own work, and verifying every source yourself.

2. Work. With a code-capable AI or the kit’s own tools, the evidence folder builds itself around you: drafts, transcripts, critiques and your rulings on them, source checks — with a session manifest that updates as you go, not from memory afterward. On the paste road the same method runs by hand: plain templates, you keep the record.

3. Before you publish, seal the record: one command writes a fingerprint manifest so anyone, years later, can prove your evidence unaltered. Deposit, disclose, done.

What's inside

For your AI to read first
00 AI - READ THIS FIRST.md

Addressed to the AI itself. When the zip is handed straight to an AI service, this file tells it to skip the review-and-summarize reflex — and then to ask the author's consent in the conversation before adopting the protocol, because a file cannot consent for a person. On your yes, it takes up its role, runs the tools, and opens with the protocol's first question.

The whole method, one file
EARNED TRUST PROTOCOL - paste this into any AI.md

The whole method in one file any AI can follow: eight steps, the one rule, the honest limits.

Your session log template
templates/00 INDEX - session manifest (template).md

The first page of your evidence: who, what, which services, which models, when — one row per session with its date, shift (1 = 7a–3p · 2 = 3p–11p · 3 = 11p–7a), and a short synopsis. Drop this file on the Reader and it becomes a readable record card.

Build your evidence folder
make_evidence_folder.py

One command builds the standard evidence folder for a new work. Refuses to overwrite — evidence folders are never overwritten.

Log a session
log_session.py

One command per session appends the manifest row — date, shift, and numbering read from the clock, safe even when several sessions log at once. The model is recorded as the screen exposed it, or as an explicit "not exposed" the author confirms — the tools never decide the honest limit on their own.

See all your works — the Bookshelf
list_works.py

The Bookshelf. Point it at any folder and it lays out every Earned Trust work by title — sessions, last touched, sealed or not — so nobody ever hunts a filename. An AI with file access runs it when you say "continue"; on your own computer, double-click it and read. Recognition beats recall.

Turn your record into a share link
encode_index.py

Packs your finished index into a share link — the whole record card travels inside the link itself, no server, nothing uploaded. Open it in the Reader, press one button, and it's a QR code you can print with the work.

Seal your record
seal_record.py

Seals the folder into a SHA-256 integrity manifest; verifies any later copy against the complete sealed set — altered, missing, and added files are each named. Publish the manifest with your work.

Lock the box before any deposit
LOCKED BOX - lock your working record before any deposit (7-Zip for absolute beginners).md

The working record never deploys unlocked. Step-by-step 7-Zip instructions for absolute beginners: lock your drafts, logs, and reviews into an AES-256 box whose key exists only with you — then prove it locked, and prove it opens, before it goes anywhere near a deposit.

For a family story project
templates/FAMILY STORY TIME - companion (template).md

A path of the standard: a book made of nothing but your voice. For families writing their story out loud — the Teller's Card, spoken photo captions, the "AI, please..." request loop, and a record built to outlive its tellers.

The Reader, offline
reader-offline.html

The Earned Trust Reader, offline copy — record cards and fingerprint verification with no website, no account, and no network at all. The kit also ships START HERE, VERSION, CHANGELOG, full license texts — and its own tests folder: the regression tests that hold every past fix in place, runnable by anyone with plain Python.

Two engines can run these tools — and only one of them is an AI. A code-capable AI runs them for you in the chat; your own computer runs them just as well with plain Python 3 — no installs, no accounts, no network. And everything works without the tools too: the protocol and templates are plain text, usable with nothing but a chat window and a folder.

Wondering which AI service to run it with? The founder's Choosing Your AI — field notes covers what matters and what free tiers really give you.

Then check anyone — including us

The Earned Trust Reader verifies any published file against its fingerprints — open-source, runs locally in your browser, no account, no central database. An offline copy ships inside the kit, so verification outlives any website.

The words, in plain English — a small glossary
Earned Trust
The disclosure standard and its free toolset, together.
AIast
The AI-use disclosure mark: AI-assisted, with the receipts.
AIast3
Three disclosed entries — a count of services, never a score or quality level.
LI-
Optional, self-applied Lost Innovator prefix: working outside the field’s credentialing system. Not a qualification.
Earned Trust Record (ETR)
The readable account of the work’s sessions — dates, services, roles, what was checked.
Field Kit
Tools and templates for building, logging, and sealing a record.
Reader
The browser tool that reads record cards and checks file fingerprints — locally, no account.
Seal / fingerprint
A cryptographic hash: proves a file is byte-for-byte the published one. Proves identity, not quality.
Locked box
Your private working files (drafts, notes, AI chat logs) bundled into one file and locked with a password, using a free program called 7-Zip. Nobody can open it without that password — not another person, not an AI, not Earned Trust itself. Only you have it.
Record Vault
Not something every writer gets automatically — it’s the founder’s own personal page of his published works, each shown with its own locked box, as real proof the process works.
Use at your own risk. The Earned Trust Protocol, the Field Kit, and this site are published free of charge by an independent researcher, with no institution behind them. They are not legal, financial, medical, security, or professional advice of any kind, and using them creates no professional relationship. They are provided as-is and as-available, with no warranty of accuracy, completeness, fitness for your purpose, results, or continued availability. Documents are licensed CC BY 4.0; code is licensed AGPL-3.0; the licenses’ own warranty disclaimers apply. Materials here are drafted with AI assistance and reviewed by the author. What you publish is permanent and yours. The full disclaimer.
Disclaimer · Earned Trust Field Kit · protocol and templates CC BY 4.0 · tools AGPL-3.0-or-later · based on the Earned Trust (AIast) standard by William Stafford, Independent Researcher · the Reader · the Field Notes · the Record Vault · share this page: earnedtrust.org/kit · Correspondence with the Author: William@earnedtrust.org · About · FAQ
Choosing your AIHow it worksFAQ & glossaryAboutWhat’s new