Build a Multi-Agent System
Designing a system where multiple AI agents coordinate on a shared task, and where that coordination tends to break.
Not scheduled yet — no date, time or fee fixed. The most-voted topic is hosted next.
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Suggested mentor
Ajay Prajapat
AI Systems Architect
15+ years of experience · Ex-Apple
About mentor & skills Visit siteinnovatewithajay.com
About the suggested mentor
Ajay Prajapat
AI Systems Architect
- 15+ years of experience
- Ex-Apple
AI Systems Architect with 15+ years of experience, including building production GenAI systems — RAG pipelines, AI agents, prompt engineering and GenAI architecture. His sessions are hands-on: expect real workflows, live builds and honest trade-offs, not slideware.
Skills & expertise
- AI-assisted Development
- Full-stack Development
- AI Agents
- RAG & MCP
- System Design
- Project Reviews
- Prompt Engineering
- GenAI Architecture
A suggested match for this topic. The trainer and session details will be confirmed when the webinar is scheduled.
Learn this topic with a mentor
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- Bring your own work — code, campaign, report or plan
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- Time, format and fee confirmed by email first
What this session would cover
Proposed outline — the mentor finalises the agenda once this topic is scheduled.
- 1When multiple agents help — and when one agent is simpler
- 2Common patterns: orchestrator-worker, pipeline and reviewer
- 3Defining clear roles, inputs and outputs for each agent
- 4Passing information between agents without losing context
- 5Where coordination breaks: loops, conflicting outputs and cost growth
- 6Monitoring and debugging a multi-agent run
Who it's for
- • Developers who have built a single agent
- • Architects designing agent-based systems
You'd leave with
- Multi-agent design patterns
- A checklist of coordination failure points
- Criteria for choosing single vs. multi-agent designs
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