The long way round to a knowledge-grounded HR agent
How building a custom chunking pipeline for an HR triage agent taught me everything Microsoft was about to solve natively.
Thoughts on technology, organisations, and the messy reality of making both work.
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How building a custom chunking pipeline for an HR triage agent taught me everything Microsoft was about to solve natively.
Short-term memory in Copilot Studio isn’t about persistence - it’s about continuity. By promoting confirmed conversational state into session memory between execution passes, agents maintain context, avoid drift, and behave consistently across multi-step interactions.
Most Copilot Studio agents fail by being too rigid. Clear roles matter, but over-prescribed flows turn agents into brittle utilities. Flexible execution—planning, checking, adapting—is what makes agents useful beyond demos.
Explore how to build Copilot Studio agents that reason and plan through multi-step actions. Learn to structure topics with inputs and outputs for agentic behaviour, non-deterministic outcomes, and richer, context-driven responses.
This article explains how Copilot Studio grounds custom AI prompts on Dataverse tables, enabling precise, structured, and filtered data retrieval.
AI chatbots are powerful on their own, but they often need a little help to perform specific tasks. For example, imagine your