LT Wilson · products

Protocol

A work-readiness system for AI delegation.

AI can produce answers that sound finished before the thinking is complete. Protocol helps you decide whether the work is ready to delegate, whether the answer is ready to trust, and what to revise next.

The method

Prompt better. Audit harder. Revise one thing at a time.

Protocol runs Plan · Do · Study · Act — Deming's PDSA quality cycle — on your AI work.

Protocol is not a bag of clever prompts. It is a practical procedure for turning messy intention into a clear AI brief, testing what comes back, and preserving human judgment while the model does useful work.

Plan

Scope the work and assess readiness before handing it to AI.

Do

Brief the model: a ready-to-run prompt with goal, context, evidence, and format.

Study

Review what came back against your criteria — and learn from the gap, not just pass/fail it.

Act

Decide what the result earned — adopt, adapt, or abandon — adjusting one variable at a time so improvement stays inspectable.

How it fits

8 is the diagnostic. Protocol is the procedure.

8 reads the shape of the thinking; Protocol runs the procedure on it. Use Protocol on its own, or pair it with 8 to run both together.

What you get

Two files, nothing padded:

Price

$49

One purchase. Download as a single zip and use it with any capable AI assistant.

Who it is for

Protocol is for people who already use AI but want better control over the work: writers, researchers, operators, consultants, builders, executives, and anyone who needs AI output to be useful, inspectable, and trustworthy.

The promise

Protocol helps you see whether a task is ready to brief, whether an output is ready to trust, and which single revision will improve the next run.

Buy Protocol Read A Fable Protocol Explore 8

Protocol is 8-compatible, but usable alone. A Fable Protocol remains free; Protocol is the paid work-readiness system.


Privacy note: Do not paste confidential, client, legal, medical, financial, proprietary, or personal material into any AI system unless you understand the account settings, data-retention policy, permissions, and risk.

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