🔥 Flame Division Academy · Dojo Syllabus

AI Patchwork Operator (APO)

APO is a Level 1 Operator Certification built for real-world execution. You’ll learn to run AI work like a disciplined field operator: clean prompts, patch-based iteration, reviewable logs, and decisions that hold up under scrutiny.

Level: AI Track (1) Format: Dojo drills + execution logs Certification: Instructor-reviewed Focus: Patchwork execution + prompt hygiene

Purpose & Operator Role

The AI Patchwork Operator is trained to deliver outcomes through controlled iteration. You don’t “wing it” with prompts. You create a baseline, deploy a patch, measure the result, and repeat until the output is correct, safe, and explainable.

Operator standard: If you can’t explain what changed, why it changed, and what risk it reduced, it doesn’t ship.

Core Skills You’ll Build

  • Prompt Hygiene: clear intent, defined context, explicit constraints, and verification steps
  • Patch-Based Iteration: improve outputs through small, controlled changes (not rewrites)
  • Execution Logging: maintain an audit-friendly trail of inputs, outputs, deltas, and decisions
  • Failure Recognition: detect hallucinations, missing assumptions, scope drift, and unsafe moves
  • Quality Control: acceptance criteria, self-check prompts, and reproducible results
  • Operator Communication: concise handoffs that a second operator can run without guessing

Training Format

APO is built for all ages and backgrounds, but it is not “casual.” You train through guided drills and short missions designed to develop consistency.

  • Dojo drills that simulate real task pressure
  • Patch cycles: baseline → patch → verify → document
  • Instructor review checkpoints (quality + safety + clarity)
  • Practice logs used as proof of execution

Syllabus Modules

  • Module 01 — Operator Basics: intent, context, boundaries, and output format control
  • Module 02 — Patchwork Method: how to “patch” prompts without breaking working logic
  • Module 03 — Prompt Hygiene: clarity rules, constraints, and anti-drift patterns
  • Module 04 — Verification & Self-Checks: validate, cross-check, and confirm assumptions
  • Module 05 — Logging for Audit: what to record, how to label patches, and why it matters
  • Module 06 — Failure & Recovery: detect errors fast, rollback, and re-stabilize
  • Module 07 — Final Drill: complete a mission with logs that pass instructor review

Certification Gate (No Instant Pass)

This certification is awarded only after instructor verification of your execution logs and operator decisions.

  • No auto-certification.
  • Logs must show patch discipline (what changed + why)
  • Outputs must meet acceptance criteria
  • Unsafe or unverifiable work does not pass

Who This Is For

  • Beginners who want a real structure (not random prompting)
  • Professionals who need repeatable, reliable AI outputs
  • Creators who want a discipline system behind the creativity
  • Teams training juniors for safe AI execution

What This Unlocks Next

After APO, you’re ready to progress into AI Workflow Operator (AWO) where single tasks become repeatable workflows (systems, playbooks, and operator-grade automation thinking).

Flame Law: “Repetition isn’t redundancy — it’s rhythm.”