DRA is a multi-stage research agent. Drop a topic, question, or rough idea into the queue and the pipeline plans sub-questions, gathers evidence from nine source providers (free web search, academic archives, your own ecosystem data), synthesizes a structured report with inline citations, then runs a self-critique pass before handing it to you for review. Every claim has a source; every cost is logged.
Drop a question or rough idea into the queue — DRA plans sub-questions, gathers evidence across nine source providers, synthesizes a structured report, and runs a self-critique pass before handing it to you.
Start with as little as a sentence. Pick a depth tier (Quick for a one-pass summary, Standard for a multi-source brief, Deep for a thorough cross-referenced report) and an optional priority. The queue drains hourly via cron, or you can trigger a single brief on demand. Submitted items stay visible with status, queue position, and depth so you always know what's cooking.
Every completed brief lands in the reports grid. Each row shows the question, depth, source count, confidence score, token spend, and review status. Filter by status (draft / approved / archived / needs critique), search by keyword, or sort by recency. Clicking any row opens a slide-out detail panel with the full report and source ledger.
Clicking any report opens a slide-out reader on the right. The header shows the question, depth, confidence score, and approval controls. Below that you get the structured body (executive summary, sub-question answers, conclusions), a sub-question outline the pipeline planned during stage 1, and a complete source ledger with provider, relevance score, and inline citation IDs you can map back to claims in the body.
DRA is not a single LLM call wrapped around web search. Each brief flows through four discrete stages, each with its own model selection, prompt, and audit trail. Token spend and timing are recorded per stage so you can see exactly where the cost went.
DRA queries up to nine providers in parallel for each sub-question. Seven are zero-key — they work the moment you enable them. Two paid providers (Tavily and Brave) plug in if you want premium web search. Toggle any of them on or off in Settings.
Recent additions extend the report lifecycle with export, quality scoring, and discovery features.
.md file with a single click. The exported file contains the full report body including citations, making it easy to drop research into any Markdown-aware tool, docs system, or newsletter draft.DRA combines nine source providers, a four-stage pipeline, and structured output into a single research tool that runs on autopilot or on demand.
Each brief picks one of three depth tiers. The tier controls how many sub-questions are planned, how many sources are pulled per sub-question, and which model handles synthesis. Pick Quick when you just want a sanity check; pick Deep when the answer matters.
DRA doesn't only run when you manually queue something. Every hour, the BRI→DRA feeder picks the highest-scoring unresearched BRI idea and queues it automatically at priority 7. When DRA finishes, it back-links to the original idea — and five minutes later, PTG turns it into a clickable prototype.
Manual queue still works for any topic, question, or idea outside of BRI.
DRA is the middle stage in the automated idea-to-prototype chain. Ideas flow in automatically from BRI and research outputs feed directly into PTG.
The full cycle — BRI idea → DRA research → PTG prototype — runs automatically within the hour via the platform cron chain.
Nine sources. Four stages. One structured, cited report per question — on autopilot.
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