37. Building a Personal AI Playbook
Turn repeated AI success into a personal or company standard.
By Jacques Botte, founder of Toptronic®. Last updated 19 September 2026.
The lesson
A playbook stores proven prompts, checklists, rubrics, model choices, safety rules, and examples for recurring work.
Keep separate playbooks for coding, business, learning, local AI, customer replies, and research.
TPEE's templates, presets, prompt library, analytics, manuals, and Learning Center together become that playbook.
A nurse educator keeps a playbook of proven handover prompts, tone rules and model choices for ward training, stored separately from the coding notes she also maintains.
An aged care team leader builds a playbook of prompts and review checklists for care-plan summaries, keeping resident-facing drafts apart from her personal learning prompts.
A grain farm office administrator saves proven prompts, rubrics and model choices for seasonal supplier letters in one playbook and coding experiments in another.
A mine site maintenance planner records the prompts, safety rules and model choices that worked for equipment fault reports, so the next shutdown uses the same proven wording.
A construction site foreman keeps a playbook of prompts and checklists for daily progress notes, filed separately from the quoting prompts he uses on weekends.
A production supervisor at a food plant writes a playbook of proven prompts for shift reports, including the model choice and the review step before any report leaves the floor.
A dispatch clerk at a freight depot stores reusable prompts and format rules for delivery updates in a playbook, tagged so new staff can find the right one quickly.
A store manager at a small retail business keeps a playbook of proven prompts for product descriptions, customer replies and stock notes, with the safety rules written beside each.
A claims team leader at an insurance office builds a playbook of prompts, rubrics and model choices for claim summaries, and keeps a separate one for her own study prompts.
A vocational instructor keeps a teaching playbook of proven prompts for lesson plans and student feedback, split from the coding playbook used in the workshop course.
Check yourself
Question 1: What belongs in an AI playbook?
- Only random chats
- Only screenshots
- Only API keys
- Proven prompts, checklists, rubrics, model choices, safety rules, examples — correct
Answer: Proven prompts, checklists, rubrics, model choices, safety rules, examples
A playbook stores repeatable working practices.
Question 2: Why keep separate playbooks?
- To avoid consistency
- To force rework
- Different work types need different rules and examples — correct
- To hide lessons
Answer: Different work types need different rules and examples
Coding, business, teaching, and research have different patterns.
Question 3: How does TPEE support a playbook?
- Secret storage
- Templates, presets, library, analytics, manuals, and Learning Center — correct
- External API calls
- Automatic cloud deployment
Answer: Templates, presets, library, analytics, manuals, and Learning Center
TPEE stores local reusable knowledge.
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