Part 4 of a series on building agents with the Microsoft Work IQ API. Part 1 introduced Work IQ, Part 2 built a conversational A2A client, and Part 3 gave a custom agent Microsoft 365 capabilities through MCP. The first three agents in this series were useful only while they were running. Part 2 remembered a conversation through contextId. Part 3 could read and change Microsoft 365 data through MCP. Stop either process, however, and…
Part 3 of a series on building agents with the Microsoft Work IQ API. Part 1 introduced Work IQ, and Part 2 built a conversational A2A client with multi-turn context and streaming. Over the last year, one problem has followed nearly every capability we added to our private AI application: tools multiply quickly. The first connector is manageable. So are the first few functions. Then the agent needs email, calendar, people, Teams, SharePoint and OneDrive.…
Part 2 of a series on building agents with the Microsoft Work IQ API. Part 1 explained the Work IQ model and made a first grounded call with raw HttpClient. The raw A2A call in Part 1 was useful for one reason: it showed exactly what crossed the wire. I could see the Work IQ token audience, the JSON-RPC method, the A2A version header and the response shape. That removed a lot of guesswork. It…