George
HOW
Authored for this page by Will + GPT · GPT knows its lines.
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WORK BEGINS
How George works ↓
HOW GEORGE WORKS

The sequence above is the short version. Here is the machinery underneath it.

The model still does the thinking. George keeps the work attached to reality.

Human intent enters through ChatGPT reasoning and continuity. George provides governed ingress, semantic mission/state, authority and contract admission, executor selection, evidence normalization, verification, and the next justified transition.

Human intentChatGPT reasoningGeorge governed ingressmission + stateauthorityexecutorevidenceverify / continue / close

1. Context retrieval is not execution.

Reading the mission, repository, memory, or runtime can resolve what is true. It does not mean anything changed. George keeps that boundary explicit.

2. Planning is not mutation.

A model can reason about a change without having authority to make it. Planning authority and mutation authority are separate facts.

3. Invocation is not success.

Starting a worker, command, deployment, or external action says only that work was launched. George retains the operation identity until the intended effect is actually known.

4. Pending is a legitimate state.

A long operation can still be the right operation. Timeouts and reconnects do not automatically justify launching it again. George reads back the same operation when the work is still in flight.

5. Failures stay attached to the layer where they occurred.

A connector failure is not automatically a George failure. An executor failure is not an evidence failure. A stale test is not proof that current runtime behavior is wrong. Classification matters because the next repair depends on what actually broke.

6. The execution substrate is replaceable beneath the mission.

MCP is governed ingress, not the identity of George. Executors, builders, connectors, processes, and capabilities can change while semantic mission identity, authority, evidence, and open obligations remain above them.

7. Evidence can revoke closure.

A worker saying “done” does not close the mission. Stronger runtime, repository, test, video, or primary evidence can reopen the question and invalidate a previous conclusion.

The work remains itself even when the machinery underneath it changes.