Notes from the Field: Lessons from io.Intelligence Implementations

io.Intelligence Lead Consultant Ivan Pidov shares practical lessons from real io.Intelligence implementations and early-stage AI projects built with clients over the past year. In this session from the interop.io Dev Community AI Meet-Up in London on 4 June 2026, he walks through what worked, what failed, and what teams should watch out for when building AI-enabled workflows in real applications. Topics include front-end AI implementation, building trust through visible workflows, controlling LLM costs, avoiding oversized prompts and datasets, applying user- and application-level usage caps, choosing models for proof of concept work, and using hackathons to accelerate delivery. This talk is especially useful for engineering, consulting, product, and architecture teams looking for grounded lessons from real enterprise AI implementations rather than theory alone. Learn more about io.Intelligence: https://interop.io/ai-and-interoperab... Explore the documentation: https://docs-ai.interop.io #interopio #ioIntelligence #EnterpriseAI #AIImplementation #MCP #Interoperability #AIAgents #DeveloperTools