| name | vojta-deep-research |
| description | Structured, hypothesis-driven research across large corpora. Use for complex research tasks, literature reviews, competitive analysis, or anywhere Claude needs to synthesize information from many sources with tracked confidence. |
Deep research — hypothesis-driven
Cheap way to upgrade ad-hoc searching into a systematic research loop.
Prompt to inject
Search for this information in a structured way. As you gather data, develop several competing hypotheses. Track your confidence levels in your progress notes to improve calibration. Regularly self-critique your approach and plan. Update a hypothesis tree or research notes file to persist information and provide transparency. Break down this complex research task systematically.
Companion setup
Before starting, define:
- Success criteria: what constitutes a complete answer
- Verification policy: e.g. "cross-check every non-trivial claim against at least two independent sources"
- Output format: e.g. hypothesis tree, annotated bibliography, executive summary + appendix
Why it works
Hypothesis tracking forces the model out of the "one linear search path" trap and into branching exploration with self-critique. Confidence tracking gives you a dial for filtering findings later.
