The source is unclear
The assistant sounds confident, but nobody owns the source, expiry date, or citation trail.
The missing system around the model
The hard part starts after the demo: approved sources, permissions, failure handling, measurable quality, and a rollout your team can stop safely. This kit turns those loose decisions into one reviewable build system.
The assistant sounds confident, but nobody owns the source, expiry date, or citation trail.
Security cannot approve a workflow when read, draft, and write permissions are mixed together.
One good chat is not an evaluation plan—and a prompt change can quietly break the next answer.
One controlled path
├── scripts/assistant_cli.py runnable
├── scripts/evaluate_responses.py 25 cases
├── templates/tool-permission-matrix.md
├── templates/source-verification-record.md
├── workflows/security-review-checklist.md
├── course/workbook.md 12 modules
└── tests/ 13/13 passing
Proof through artifacts
You receive editable assets and a working Python reference project—not a slide deck that disappears after checkout.
What you receive
Architecture, retrieval, memory, tools, security, evaluation, operations, and rollout in English.
Course outline, lesson scripts, workbook, and a focused two-day implementation sprint.
Offline mock mode plus an optional live Responses API path using your own provider account.
Assistant blueprint, memory policy, permission matrix, source record, and rollout plan.
Source verification, permission review, evaluation workflow, troubleshooting, and failure handling.
Completion criteria, logging decisions, review cadence, rollback triggers, and kill-switch planning.
Built for
Not a fit when
Suggested first sprint
Scope the workflow, register approved sources, run mock retrieval, and configure the permission matrix.
Run evaluations, review failures, write the pilot plan, and define rollback and kill-switch criteria.
Before you buy
OpenAI is the working reference implementation. The source, permission, evaluation, and operations method is portable.
The course explains platform choices, but the runnable reference project requires basic Python and terminal use.
No. Mock mode is local and free. Optional live provider usage is billed through your own account.
The individual license supports implementation work where a client receives the final configuration—not a redistributed copy of the package.
Build evidence, not another demo
One-time purchase. Downloadable ZIP delivered by email, usually within 10 minutes after checkout.