01 / Before you start
AI Task Fit Check
A deterministic check for AI task fit, risk, controls, and autonomy.
Start the Task Fit CheckView worked examplesPublic beta Task-first decision support
Use AI when it fits. Know when it does not.
Understand the task, choose the right approach, set safe boundaries, and verify the result.
Built for founders, operators, marketers, agencies, and teams that need useful AI guidance without a dedicated AI governance function.
Public beta. The content, methodology, and tool behavior are owner-reviewed. Independent domain review and moderated target-user validation are not complete. See the current review status.
- TaskWhat is the work, and what happens if it is wrong?
- FitShould AI be used, or would ordinary software do?
- PatternPrompt, context, retrieval, tools, or agent?
- BoundsWhich data is safe, and how much autonomy?
- VerifyWhat evidence proves the output is acceptable?
OutcomeA suggested approach with its controls and review needs, or a clear reason to keep the task human-only.
Tools
Two deterministic tools
Same answers, same result. Answers and exports stay in this browser. No account is required.
02 / Before you rely on output
Output Verification Builder
Generate a deterministic review checklist and acceptance plan for an AI output.
Open the Verification BuilderView checklist examplesThe decision layer
Six questions before choosing an AI tool
Should AI be used?
Start with task suitability, consequences, and verifiability.
Would ordinary software work?
Prefer deterministic rules when they solve the problem reliably.
What pattern fits?
Choose prompts, context, retrieval, tools, or bounded agents by need.
What data is safe?
Classify information before placing it in any AI environment.
How much autonomy?
Limit decisions and actions according to risk and reversibility.
What proves success?
Define evidence, acceptance criteria, review, and stop conditions.
Worked scenarios
See the reasoning on real tasks
Each scenario walks a common task through fit, pattern, data, autonomy, and verification, including tasks where AI is the wrong choice.
All worked scenariosKnowledge paths
Go deeper by stage of work
- Learn
Model limits, grounding, solution patterns, and the glossary.
- Decide
The Task Fit Check, worked scenarios, and the methodology.
- Workflows
Draft-and-review, research, extraction, and bounded actions.
- Verify
Output checks, source traceability, and qualified review.
- Troubleshoot
Unsupported claims, stale facts, and unsafe actions.
- Reference
Data environments, autonomy, risk bands, and disallowed uses.
Scope and limits
Educational decision support, not certification
Use AI Clearly explains trade-offs and produces structured, deterministic guidance. It does not approve a deployment, replace qualified review, or decide high-impact matters about people.