agents Archives

Microsoft 365 Copilot
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Microsoft 365 Copilot

Lois Angelo Dar Juan2026-02-26T03:15:01+00:00

Microsoft 365 Copilot Cheat Sheet An AI-powered productivity assistant built into Microsoft 365 apps that helps users draft content, analyze data, summarize information, and automate tasks using large language models and organizational data. Combines advanced language models with Microsoft Graph to provide context-aware responses based on emails, meetings, files, and chats. Designed to improve productivity while maintaining enterprise-grade security, compliance, and data privacy. Operates within the user’s existing permission boundaries and respects tenant-level security controls. Key Features AI-Powered Assistance in Microsoft 365 Apps Embedded directly into the following Microsoft 365 Apps: Microsoft Word – Draft, rewrite, summarize, and generate documents [...]

Microsoft 365 CopilotLois Angelo Dar Juan2026-02-26T03:15:01+00:00

AWS Strands Agents
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AWS Strands Agents

Cristieneil Ceballos2025-12-30T14:06:23+00:00

Bookmarks Key Features Use Cases Implementation Approach for Strands Agents Real World Examples of Strands Agents Agents Tools Model Providers Streaming Multi-Agent Safety and Security Observability and evaluation Strands Agents vs. Strands Agents SOPs Pricing AWS Strands Agents Cheat Sheet AWS Strands Agents is an open-source SDK that enables developers to build, test, and deploy AI agents by simply defining a prompt and a list of tools in code. True to its [...]

AWS Strands AgentsCristieneil Ceballos2025-12-30T14:06:23+00:00

Amazon Bedrock + Promptfoo: Rethinking LLM Evaluation Methods
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Amazon Bedrock + Promptfoo: Rethinking LLM Evaluation Methods

Ashley Nicole Santos2026-02-08T14:26:06+00:00

I discovered something embarrasing about my LLM development workflow last month. After spending hours crafting what I thought was the perfect prompt for a customer service chatbot on Amazon Bedrock, I deployed it and called it done. My validation process? I asked it five questions, nodded approvingly at the responses, and moved on. Sound familiar? This "vibe-based prompting" approach worked fine until the chatbot confidently told a user that our fictional company offers "24/7 phone support," a feature that never existed. The model hallucinated, and I had no automated way to catch it. That experience sent me down a rabbit [...]

Amazon Bedrock + Promptfoo: Rethinking LLM Evaluation MethodsAshley Nicole Santos2026-02-08T14:26:06+00:00

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