April 2025 monthly summary for MicrosoftDocs/ai-builder. The month focused on documenting Copilot-assisted prompt drafting in Power Platform, including benefits, usage steps, limitations, and the public preview status. Delivered two commits to draft-with-copilot.md and added UI image references to illustrate Copilot usage in the prompt builder. No major bugs fixed this period. The work enhances developer efficiency, improves product understanding, and prepares for public rollout.

March 2025 focused on documentation-led improvements for the O1 model licensing and usage. Delivered clear, cross-product guidance across Prompt Model Settings, Copilot Studio, and Power Platform references, aimed at accelerating onboarding, ensuring license compliance, and reducing support friction. Key updates were concentrated in the ai-builder docs ecosystem, with targeted edits to FAQs and model settings documentation.

February 2025: Delivered focused O1 model documentation and FAQ updates for MicrosoftDocs/ai-builder, clarifying preview status, credit usage, knowledge cutoff, context length, and advanced reasoning capabilities. Added explicit guidance on how prompts and settings interact with O1 and included an FAQ comparing O1 to GPT models.

November 2024 monthly summary for MicrosoftDocs/ai-builder focused on improving developer experience and business value by clarifying multimodal input capabilities, constraints, and model support. The work aligns documentation with product capabilities and regional availability, reducing ambiguity for users and collaborators and enabling more accurate prompt design.

October 2024 — MicrosoftDocs/ai-builder: Focused on updating AI Builder prompts documentation to reflect current models, configurations, deployment contexts, and privacy considerations. Delivered two feature-oriented documentation updates with broad coverage across multiple pages (prompt-modelsettings.md, azure-openai-human-review.md, prompts-overview.md, share-your-prompt.md, use-a-custom-prompt-in-app.md, use-a-custom-prompt-in-flow.md, faqs-text-generation.md). No major bugs fixed this month; work emphasized accuracy, consistency, and alignment with the latest AI models and deployment requirements. Business value: reduces misconfiguration risk, shortens developer onboarding, and strengthens privacy controls in AI Builder workflows. Technologies/skills demonstrated: technical writing, documentation governance, model/version awareness, privacy/security considerations, and cross-file consistency across docs.