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Agent · launch intelligence
Launch-intelligence agent
An autonomous agent watches a curated list of lab blogs, vendor news pages, and arXiv categories, identifies frontier-AI launches, and extracts structured fields plus a draft "what changed" note in Pere voice. Candidates land in a review queue. Approve to greenlight; reject to silence.
Agent control
11 sources watched · last scan never
Filter
Queue empty
Run a scan to populate the queue with candidates the agent surfaced.
How the agent works
- Sources are curated. The agent doesn't crawl the web — it watches a small list of high-signal feeds (lab blogs, vendor newsrooms, arXiv cs.LG / cs.CL).
- Extraction is conservative. The model is prompted to reject anything that isn't clearly a launch (no marketing posts, no policy commentary, no hiring news). If nothing in a source is a launch, nothing gets queued.
- Numbers carry confidence flags. Confirmed (officially stated), estimate (range given), or rumour (speculative). The flag survives into the draft note.
- Human in the loop. The agent never publishes. Approved candidates become the basis for a registry update or note; rejected ones get silenced so the same source post doesn't resurface.
- Idempotent. Re-running the scan doesn't duplicate. Each candidate has a stable hash of its source + headline + link.