bookstrap-research-path

Automate multi-task research pipelines by orchestrating pending tasks sequentially across multiple sources and entities. The process invokes a researcher agent for each task, enforces priority ordering, and updates task statuses in the project database to reach a finished knowledge state.

Research task orchestration coordinates pending research tasks by sequencing a researcher agent across a batch. It resolves knowledge gaps by verifying each gap is addressed during processing, updating statuses, and reporting progress to ensure all entities and sources reach completion.

Batch process research tasks by running an orchestrator that ingests multiple sources and extracts entities sequentially. The system applies gap verification after each task, updating the project database to track progress and ensure all knowledge gaps are resolved before moving to the next item.

Track research progress and task status updates directly within the project database. The orchestration process enforces sequential processing and reports progress after each task, validating that knowledge gaps are resolved before marking tasks as finished.

Sequential task processing works for research batches with multiple sources, entities, and knowledge gaps. The orchestrator processes pending tasks one by one in priority order, invoking the researcher agent for each task to handle results and enforce sequential updates.

Sequential research task orchestration processes tasks one by one in priority order, which can limit throughput for large batches. It enforces strict sequencing and gap verification, meaning a failure or unresolved gap in one task can delay subsequent pending tasks in the pipeline.