Multi-Agent Without the Bloat: Designing Lean AI Systems on Azure
Multi-agent systems get slow and expensive when every agent sees everything. Once the idea reaches a real workflow, the hard questions shift to context, trust, cost, and reliability. In "Multi-Agent Without the Bloat: Designing Lean AI Systems on Azure", Carey Payette ties Azure patterns for scoped context, handoffs, memory, and routing to leaner systems that are easier to debug and scale.
Session details
Multi-agent systems get expensive and chaotic when every agent receives the full conversation, full tool history, and full memory state. In this session, we’ll look at how to design leaner AI systems on Azure using Azure OpenAI with Microsoft Agent Framework or LangGraph, focusing on the architectural patterns that reduce context bloat without losing capability. We’ll cover scoped context, targeted handoffs, short-term versus long-term memory, planner and router patterns, and techniques for keeping each agent focused on only the information it actually needs. Attendees will leave with practical design patterns for building multi-agent systems that are faster, cheaper, easier to debug, and easier to scale.
Primary action
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Agenda facts
- Format
- Talk / Presentation
- Kind
- Conference Session
- Topic
- Artificial Intelligence and Machine Learning
- Level
- Intermediate
- Time
- Oct 29, 2026, 2:30 PM
- Room
- Room F
- Duration
- 60 min
Speakers
Link partners to speaker kits when available, or to the public speaker profile on mitechcon.net.
Carey Payette
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LinkedIn
Session LinkedIn Post
Multi-agent systems get slow and expensive when every agent sees everything. Once the idea reaches a real workflow, the hard questions shift to context, trust, cost, and reliability. In "Multi-Agent Without the Bloat: Designing Lean AI Systems on Azure", Carey Payette ties Azure patterns for scoped context, handoffs, memory, and routing to leaner systems that are easier to debug and scale. 📅 October 28–30, 2026 📍 Oakland University, Rochester, MI 🔗 https://www.mitechcon.net/sessions/multi-agent-without-the-bloat-designing-lean-ai-systems-on-azure/?utm_source=partner-kit&utm_medium=partner&utm_campaign=mitechcon-2026&utm_content=session-multi-agent-without-the-bloat-designing-lean-ai-systems-on-azure #MITechCon #MultiAgentAI #AzureAI #AIArchitecture
Short social
Short Session Post
Multi-agent systems get slow and expensive when every agent sees everything. Learn Azure patterns for scoped context, handoffs, memory, and routing. https://www.mitechcon.net/sessions/multi-agent-without-the-bloat-designing-lean-ai-systems-on-azure/?utm_source=partner-kit&utm_medium=partner&utm_campaign=mitechcon-2026&utm_content=session-multi-agent-without-the-bloat-designing-lean-ai-systems-on-azure #MITechCon #MultiAgentAI
Newsletter / email
Newsletter Or Email Blurb
Feature this MITechCon 2026 session in your newsletter or email: "Multi-Agent Without the Bloat: Designing Lean AI Systems on Azure". Multi-agent systems get slow and expensive when every agent sees everything. Once the idea reaches a real workflow, the hard questions shift to context, trust, cost, and reliability. In "Multi-Agent Without the Bloat: Designing Lean AI Systems on Azure", Carey Payette ties Azure patterns for scoped context, handoffs, memory, and routing to leaner systems that are easier to debug and scale. Format: Conference Session. Topic: Artificial Intelligence and Machine Learning. Level: Intermediate. Scheduled for Oct 29, 2026, 2:30 PM in Room F. Learn more and share the session: https://www.mitechcon.net/sessions/multi-agent-without-the-bloat-designing-lean-ai-systems-on-azure/?utm_source=partner-kit&utm_medium=partner&utm_campaign=mitechcon-2026&utm_content=session-multi-agent-without-the-bloat-designing-lean-ai-systems-on-azure