ipps-deep-research

Deep research with verified provenance uses a six-phase structured workflow: preflight planning, table-of-contents creation, template setup, task planning with TASKS tracking, file-by-file investigation, and final verification. This ensures multi-source evidence is captured with explicit source hierarchy, verification labels, and auditable reasoning preserved throughout.

Enforcing strict source hierarchy, structured citations with IDs, and explicit verification labels distinguishes fact from assumption and community input. Standardized outputs like INFO-like documents and reusable templates create repeatable research that supports audits, compliance reviews, and knowledge transfer across teams.

Create a STRUT for orchestration and TASKS for granular execution to plan research phases. Time tracking and credit estimation built into task planning improve discipline and collaboration, while phase-by-phase tracking ensures nothing is missed in exhaustive investigations.

Yes. The MCPI-driven research workflow generates end-to-end documentation for APIs, variants, and integration patterns. It produces standardized reports with sources, verified summaries, and reusable templates suitable for technical documentation and knowledge bases.

The framework applies explicit verification labels to distinguish fact (official sources), assumption (inferred or unconfirmed), and community input (third-party contributions). Source hierarchy enforces official-first precedence, ensuring transparent research lineage and auditable confidence levels.

No. The framework provides a quick start by initializing STRUT for a topic, then creating a TASKS plan before Phase 1 source collection. Step-by-step phases and automatic template generation guide investigation regardless of prior research depth or methodology experience.