DeepAgents Deploy is the easiest way to bring agents to production, with just a few markdown and configuration files (no code!) Here's me building an agent that connects to LangChain Docs. Powered by @Zai_org GLM5 (via @baseten
) and @mintlify MCP
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DeepAgents Deploy: No-Code Agent Production Deployment Platform
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Mistral Vide now in Le Chat, new Work Mode preview
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Users can now use Mistral Vide directly in Le Chat!
— ๐จ AI News | TestingCatalog (@testingcatalog) 29 avril 2026
Besides that, Le Chat got a new Work Mode in Preview: an agent that can handle complex tasks across connected tools. https://t.co/XQn3Uo9TPr pic.twitter.com/Kin0tKjhFuUsers can now use Mistral Vide directly in Le Chat! Besides that, Le Chat got a new Work Mode in Preview: an agent that can handle complex tasks across connected tools.
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Deep Agents Launches Per-Model Harness Profiles Feature
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Until today, Deep Agents shipped with a single set of prompts, tools, and middleware aimed to work well across all Large Language Models. With the launch of harness profiles, you can now control these parameters on a per-model basis.
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9 Steps to Build Functional AI Agents from Scratch
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How to build AI agents from scratch (9 steps): 1. Purpose & scope 2. I/O schemas 3. System instructions 4. Reasoning + tools 5. Multi-agent orchestration 6. Memory & context 7. Multimodal 8. Structured outputs 9. UI / API Ship agents that do work, not just talk.
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Replit Agent Monitors Production Apps, Fixes Issues Automatically
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Building apps is easy- keeping them running isnโt
— Replit โ (@Replit) 29 avril 2026
Introducing Replit Application Monitoring
Replit Agent now watches your app in production, investigates issues, and helps fix them- so you donโt have to pic.twitter.com/NP8blat8awBuilding apps is easy- keeping them running isnโt Introducing Replit Application Monitoring Replit Agent now watches your app in production, investigates issues, and helps fix them- so you donโt have to
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Gemini generates Docs, Sheets, and PDFs in the chat
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GOOGLE ๐จ: Gemini now can generate Docs, Sheets, Slides, and PDFs directly in the chat.
— ๐จ AI News | TestingCatalog (@testingcatalog) 29 avril 2026
Available to all users already ๐ https://t.co/nvix1PUrKb pic.twitter.com/Ucvinsw0H8GOOGLE : Gemini now can generate Docs, Sheets, Slides, and PDFs directly in the chat. Available to all users already
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Claude Usage: Understanding Limitations and Smart Optimization
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The people who say Claude is too restrictive are mostly running 30-message Opus chats with web search on while uploading the same PDF repeatedly. The people who use it all day are not using it less. They are using it smarter. Save this. The next time you hit a limit, the fix is
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Token Consumption Patterns: Five Biggest AI Model Drains
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10/ Know what burns the most tokens The biggest token consumers in order: long conversations, large file uploads, web search, extended thinking on every prompt, and Opus on small tasks. If you keep hitting the limit and do not know why, it is one of those five. Probably more
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LangChain 2nd Edition: Production LLM Applications and Advanced Agents
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The 2nd Edition of this book has arrived, with Agentic AI updates: "Generative AI with LangChain โ Build Production-ready LLM Applications and Advanced Agents using Python and LangGraph" at https://
amzn.to/3JEeS6K v/ @PacktDataML ๐ฆ๐ฑ๐ช๐ฝ ๐จ๐ธ๐พ ๐ฆ๐ฒ๐ต๐ต ๐๐ฎ๐ช๐ป๐ท:
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Optimize AI Model Selection by Task Complexity and Cost
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7/ Stop using Opus for Haiku tasks Opus is roughly 5x more expensive per task than Sonnet. Sonnet is more expensive than Haiku. Quick reply, formatting fix, brainstorm? Haiku.
Writing, analysis, code, real drafts? Sonnet. Deep research, complex reasoning, long document review?