tender-research

Automate government tender research by running parallel sub-agents for each tender ID, spawning simultaneous tasks that extract key metadata. This parallel execution methodology dramatically reduces manual workload and accelerates time-to-insight for procurement teams.

Parallel tender analysis generates two files per tender ID: a human-readable Markdown report (research-{tender_id}.md) and a machine-readable JSON summary (research-{tender_id}.json). Both structured outputs are written to a user-specified output directory.

Bid desks can use this parallel procurement research approach to generate consistent, auditable research packs for governance reviews. Each sub-agent follows a methodology-driven analysis workflow to ensure standardized reporting across multiple evaluated tenders.

Run parallel research tasks by passing a comma-separated list of tender IDs and an optional output directory. The system reads the tender methodology, spawns one autonomous sub-agent per ID, and writes the resulting research files to the specified location.

Parallel tender analysis requires no external dependencies or components to function. The advanced internal design coordinates autonomous sub-agents natively, executing the methodology-driven workflow without needing additional libraries or frameworks.

The best way to extract key metadata from multiple government tenders simultaneously is using parallel autonomous sub-agents. This approach enforces a structured methodology that reads each tender, extracts relevant data, and generates both Markdown and JSON reports.