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Microsoft Power Apps agents learn from user corrections

By PulseAugur Editorial · Summary by gemini-2.5-flash-lite from 2 sources

Microsoft's Power Apps has launched a new closed-loop learning feature for its agents. This update allows agents to learn directly from user corrections, transforming feedback into organization-wide improvements. The system aims to reduce manual fixes and enhance automation accuracy over time. AI

Summary written by gemini-2.5-flash-lite from 2 sources. How we write summaries →

IMPACT Enhances enterprise automation by enabling agents to learn from user feedback, reducing manual intervention and improving accuracy.

RANK_REASON Product update for an enterprise software suite.

Read on Mastodon — sigmoid.social →

COVERAGE [2]

  1. Mastodon — sigmoid.social TIER_1 · [email protected] ·

    Power Apps introduces closed‑loop learning: agents now learn from real user corrections, turning feedback into org‑wide improvements. Less manual fixing, smarte

    Power Apps introduces closed‑loop learning: agents now learn from real user corrections, turning feedback into org‑wide improvements. Less manual fixing, smarter automations, better accuracy over time. #PowerApps #AI #Automation #EnterpriseAI #Copilot #MCPServer Closed-loop learn…

    LINKS microsoft.com/…/power-apps-mcp-server-int…
  2. Mastodon — sigmoid.social TIER_1 · [email protected] ·

    Power Apps introduces closed‑loop learning: agents now learn from real user corrections, turning feedback into org‑wide improvements. Less manual fixing, smarte

    Power Apps introduces closed‑loop learning: agents now learn from real user corrections, turning feedback into org‑wide improvements. Less manual fixing, smarter automations, better accuracy over time. # PowerApps # AI # Automation # EnterpriseAI # Copilot # MCPServer https://www…

    LINKS microsoft.com/…/power-apps-mcp-server-int…

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