~/talk

Build and scale reliable multi-agent systems on AWS

links:none on file
name:James Luo
links:none on file
slides:none on file

Built a production multi-agent system using Amazon Bedrock foundation models with a Bedrock Agents multi‑agent pattern, a web search tool hitting the ATO site, a code interpreter for charts/files and a lightweight REST API wrapper, scaling by adding ~100 functions in a few sprints. The SaaS handles 300,000 funds and A$500B in assets, faced prompts bloating to 30 pages, and claims to reduce 2–3 hour tasks to 13 minutes by splitting responsibilities into task‑specific agents.

AI-written summary · about

  1. 0:00Introduction and setup
  2. 1:26What are GenAI agents
  3. 3:34How agents work and plan
  4. 7:24Amazon Bedrock agents
  5. 11:03BGL’s multi-agent journey
  6. 16:41Single agent demo and benefits
  7. 21:19Challenges with single agents
  8. 22:23Multi-agent collaboration
  9. 25:18Long-running autonomous agents
  10. 27:45Summary and key takeaways
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