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‹ Sandbox evidence register

Gibson working method

AI-assisted delivery method

A planning-led delivery method that uses specialist review passes to surface requirements, risks, architecture choices and acceptance checks before implementation. The method supports judgement; it does not guarantee speed, quality or a particular production outcome.

Last reviewed 2 August 2026 · By Albert Triolo, Founder and Managing Director

Current public statusGibson working method
Evidence boundary

The method is not an independent certification and does not mean every project uses the same agents, models, tools or delivery schedule.

What is confirmed

Facts this entry can support.

  1. 01Requirements and acceptance checks are defined before implementation.
  2. 02Specialist review passes are used where the risk warrants them.
  3. 03Human approval remains part of consequential production decisions.

How a similar problem proceeds

Evidence to decision, without assuming AI is the answer.

01

Map

Define the current workflow, evidence, owner and operating constraint.

02

Compare

Check process, rule, integration and AI options against the same decision.

03

Bound

Set representative cases, human controls, unacceptable failures and stop conditions.

04

Decide

Stop, improve, test further or separately scope production from the evidence.

Questions before using this example

Status and fit, answered directly.

What is the current public status of AI-assisted delivery method?

Gibson working method. The method is not an independent certification and does not mean every project uses the same agents, models, tools or delivery schedule.

What does AI-assisted delivery method show?

A planning-led delivery method that uses specialist review passes to surface requirements, risks, architecture choices and acceptance checks before implementation. The method supports judgement; it does not guarantee speed, quality or a particular production outcome.

Can this example predict the outcome of another build?

No. A future workflow has its own evidence, systems, users, risks, human controls, acceptance tests and production decision. This entry supports a capability discussion only within the stated evidence boundary.

What information should go into a workflow brief?

Describe the current process, the constraint, affected users, systems involved, available evidence, unacceptable failures, required human decisions and the outcome that would justify a bounded test.

Related register entries

Next decision

Do not copy the example. Scope the operating problem.

Review the AI Consulting method, then send the current process, evidence and controls if a bounded workflow decision is still useful.