Deep Research

ACH-enhanced deterministic research: clarify → perspectives → decompose → parallel search → extract claims → hypotheses → disconfirm → evidence matrix (with sensitivity check) → self-critique → synthesize.

Costs more tokens (~400k budget) but produces higher-confidence results by actively trying to disprove answers.

Invoke

Start the workflow via the devkit engine:

Use the devkit_start tool with workflow: "deep-research" and input: "{input}".

Then follow each step the engine returns. Call devkit_advance after completing each step. The engine controls step order, gates, and loops. Do NOT skip steps.

Rules

• Perspectives first — ground queries in real viewpoints, not LLM brainstorming
• Disconfirm > confirm — try to KILL hypotheses, not prove them
• Summarize immediately — never carry raw fetched content forward
• Evidence matrix is mandatory — no skipping the structured comparison
• Sensitivity check is mandatory — know how fragile your conclusion is
• Self-critique before output — catch your own biases
• Cite everything — every claim links to its source
• Confidence calibration — HIGH/MEDIUM/LOW based on evidence robustness, not gut feel
• Be honest about uncertainty — "I don't know" with good reasoning beats a confident wrong answer