Take a Look Inside
Open a focused preview of the supplied pages, sheets or working views.



112-page paperback, 3 inherited working practices, KDP cover, fillable and printable digital editions, evidence and exercise-lineage registers, and marketplace population package.
What It Is For
A reproducible record of the task, baseline, system version, test cases, failures, review burden and deployment decision.
Intended for: Founders, operators, product teams and consultants running bounded tests of prompts, workflows or agents.
What Exists Behind This Page
This preview is tied to the built edition and its recorded release state. It is not a promise that the product is already available or that using it guarantees the outcome.
- 15 complete reusable AI experiment entries
- 3 complete exercise adaptations with canonical IDs, retained mechanisms, examples, misuses, completion conditions and transfer boundaries
- Inherited practices: Prediction Before the Run; The AI Evidence Autopsy; The AI Advice Rewrite
- 6-source evidence register with design uses and transfer limits
- fillable and flattened A4 digital editions
- rendered cover, method, inherited-practice, record and digital previews
- 3 prepared editions
- 3 inspectable customer-page previews
- 6 named sources with stated use and transfer limits
Three Decisions It Helps You Make
- 01
Would a clearer task contract and acceptance test solve this without maintained context?
- 02
Does this result recur often enough to justify maintained context and a repeatable route?
- 03
Is the consequence or uncertainty high enough that the work should remain human-led?
Price and Package
What this edition does not promise
- A working aid, not a guarantee of a commercial, career or personal outcome.
- It does not replace legal, regulatory, clinical, financial or employer-specific advice.
- Human release review and fulfilment testing remain required.
Source Corpus Acknowledged
This journal contains 3 named working practices adapted from The Evidence-Based Life contract v1.2.0. Each records its retained mechanism and domain boundary. Named research, official guidance, standards and relevant primary provider material informed selected prompts and boundaries. Provider material is operational guidance, not independent validation; no named source endorses this Stratogenic product.
6 named sources and transfer limits
- OpenAI. Working with evals. — Informs criteria, representative test data and repeatable evaluation runs. Limit: Provider guidance is product-specific and is not independent evidence of safety or fitness. Review: Release review required.
- Anthropic. Demystifying evals for AI agents. — Supports evaluating multi-step behaviour, tool use and outcomes. Limit: Provider engineering experience does not remove the need for independent, use-specific review. Review: Release review required.
- NIST AI Risk Management Framework 1.0. — Structures govern, map, measure and manage prompts. Limit: A voluntary framework is contextual; using it is not certification. Review: Release review required.
- NIST AI 600-1. Generative Artificial Intelligence Profile. — Adds generative-AI risk and measurement questions. Limit: A risk profile does not make a system safe. Review: Release review required.
- OWASP. Top 10 for LLM Applications 2025. — Informs adversarial cases, excessive-agency and sensitive-data boundaries. Limit: A checklist cannot replace threat modelling or a system-specific security review. Review: Release review required.
- Regulation (EU) 2024/1689, Artificial Intelligence Act. — Keeps role, risk, transparency and human oversight visible. Limit: Obligations and dates are context-dependent; this is not legal advice. Review: Release review required.
Corpus review: 2026-07-19. Provider documentation is operational guidance, not independent validation or endorsement.
Frequently Asked Questions
What is The AI Experiment Logbook?
The AI Experiment Logbook is field journal designed to help founders, operators, product teams and consultants running bounded tests of prompts, workflows or agents. a reproducible record of the task, baseline, system version, test cases, failures, review burden and deployment decision.
What do I receive with The AI Experiment Logbook?
112-page paperback, 3 inherited working practices, KDP cover, fillable and printable digital editions, evidence and exercise-lineage registers, and marketplace population package.
Can I buy or download The AI Experiment Logbook now?
No. This is a forthcoming preview. Checkout and delivery stay disabled until named human approval and fulfilment checks are recorded.

