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Practical thinking for better Power Platform decisions.
Articles on Power Apps, Power Automate, Power Pages, Dataverse, Copilot and Azure, written from real delivery experience for architects, makers and platform teams.
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Dataverse auditing step by step: track who changed an account phone number
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Microsoft Copilot harness: prove the benefit before moving your agent
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Dataverse integrations: make retries safe with alternate keys and upsert
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Dataverse data archiving: design the retrieval before the retention policy
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Copilot Studio is moving from agent builder to an operating model for AI work
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Power Pages is becoming an AI-native web platform—but security remains the boundary
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Copilot Studio credits are becoming an architecture decision
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Power Platform is moving from release waves to an always-on delivery model
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Power Pages is becoming a more complete enterprise web platform
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Dataverse is becoming an agent data platform: why the entry points matter
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Power Platform moves to the AI at Work roadmap: what teams should change
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Rollback, support and continuous improvement: the final ALM stage
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Security roles and ALM: deploy the boundary with the feature
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ALM for Copilot Studio and AI components
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ALM for Power Automate flows: ownership, triggers and connection health
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Data deployment is not solution deployment
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Azure DevOps and GitHub Actions for Power Platform ALM
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Power Platform pipelines: when the platform should own deployment orchestration
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Validation gates: catch Power Platform deployment defects before users do
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Source control for Power Platform: make changes reviewable
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Connection references: remove credentials from the deployment conversation
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Environment variables make Power Platform solutions portable
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Solution layers: the Power Platform deployment behaviour teams must understand
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Solutions are the unit of Power Platform deployment
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Power Platform environments: design the road before you build
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ALM in Power Platform: deployments are a product capability
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Power Pages Web API hardening: why explicit fields are the new baseline
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Microsoft Entra Agent ID gives Power Platform agents an accountable identity
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Power Apps model-driven app skills bring complete app building to AI coding agents
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Dataverse MCP turns governed business data into an agent-ready interface
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Optimise a Power Automate flow with Microsoft's MCP skills
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Power Automate MCP brings AI-assisted flow building into the developer workflow
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Azure Functions connector namespaces bring Power Platform-style automation to code
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Power Pages is moving from portal builder to enterprise web application platform
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Dataverse is becoming the accountability layer for agentic business data
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Power Pages lookups and custom forms: connect the page to Dataverse without losing control
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Power Pages needs a governed delivery path as AI moves into portal design
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Dataverse is becoming the operating layer for agentic Power Platform work
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Power Platform apps need a governed path to AI, not just a Copilot button
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How to build a safe promotion path for Dataverse solutions with Git, pipelines and Copilot
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Power Platform ALM is a delivery platform, not a deployment button
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