AutoResearch ↔ Sequential Thinking 5-Point Integration Protocol
Decision
Established 5 explicit integration points between AutoResearch v2.1.0 and Sequential Thinking v4.1: (1) Hypothesis Quality — ST socratic_questioning + review_decisions before AutoResearch hypothesis generation, (2) Decision Quality — ST decision_matrix + detect_biases for non-obvious keep/discard, (3) Stuck Recovery — ST lateral_thinking + generate_hypotheses when 3+ consecutive discards, (4) Wisdom Persistence — AutoResearch completion → ST record_decision with ‘autoresearch’ tag, (5) Outcome Tracking — session-close → review_decisions + populate actual_outcome. Also adopted Deep Research Self-Upgrade template as standard capability enhancement path.
Rationale
Analysis of 12-decision ST corpus revealed both systems operating in parallel silos (zero autoresearch-tagged decisions, zero actual_outcomes tracked). Systems thinking analysis identified a compound intelligence flywheel that only turns when the 5 integration points are explicit. First principles decomposition confirmed these as the irreducible minimum. Outcome tracking was the critical missing piece — wisdom lifecycle was only 50% operational without it.
Alternatives Rejected
Outcome
Succeeded. AutoResearch v2.3.0 + ST 42-tool suite both deployed. Universal Deep Analysis mandate in SOUL.md. All CXOs wired per AGENTS.md domain templates. Observatory live at ar.arjtech.in.
Related
- clawteam-openclaw-multi-agent-swarm-evaluation
- enterprise-capability-expansion-5-pillars-from-digital-employee-analysis
gws-capability-expansion-nova(archived)- routine-agents-on-sonnet-strategic-agents-on-opus
claude-code-to-nova-enterprise-capability-expansion-20260323(archived)