Multi-Agent AI Research Brief
researchimported
Installation
$
npx agenticloops install daily-ai-research-briefSummary
Spawns parallel research agents across 9 AI topic areas, synthesizes into a TL;DR + full report, and pushes to Notion or Slack.
- Runs Daily, on any harness.
- Uses skills:
deep-research,summarize,report-writing. - Needs
secrets ANTHROPIC_API_KEY, NOTION_API_KEY— checked at install; secrets are prompted, never in the file. - Runs at the standard capability tier (balanced model); the harness picks the model.
What it does
Spawn parallel deep-research agents, one per AI topic area: models, safety, agents, tools, applications, policy, infrastructure, research papers, and industry news. Each agent researches its domain independently. Once all complete, synthesize findings into a TL;DR executive summary (5 bullets max) and a full structured report with sources. Publish to the configured destination (Notion, Obsidian, Slack, or Teams).
LOOP.md
--- name: daily-ai-research-brief description: Multi-Agent AI Research Brief · Spawns parallel research agents across 9 AI topic areas, synthesizes into a TL;DR + full report, and pushes to Notion or Slack. schedule: daily @ 08:00 skills: [deep-research, summarize, report-writing] requires: secrets: [ANTHROPIC_API_KEY, NOTION_API_KEY] # names only tier: standard # frontier | standard | fast effort: medium concurrency: skip tags: [research, ai-news, content, multi-agent] license: MIT --- Spawn parallel deep-research agents, one per AI topic area: models, safety, agents, tools, applications, policy, infrastructure, research papers, and industry news. Each agent researches its domain independently. Once all complete, synthesize findings into a TL;DR executive summary (5 bullets max) and a full structured report with sources. Publish to the configured destination (Notion, Obsidian, Slack, or Teams).