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.
LLMS
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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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The 8-Layer Architecture of Agentic AI Explained
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The 8-Layer Architecture of #AgenticAI
by @Python_Dv #AI #LLM #ArtificialIntelligence #MachineLearning #ML -
Deep Agents: Optimizing Performance Across Model Families
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great deep dive into how we get deepagents to work well with different families of models
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Claude AI and CAD Professionals Job Displacement Debate
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me watching self-proclaimed CAD experts in my thread arguing that Claude won’t replace them https://t.co/sB55rT4rNY pic.twitter.com/zpB6GI9tEy
— Charly Wargnier (@DataChaz) 29 avril 2026me watching self-proclaimed CAD experts in my thread arguing that Claude won’t replace them
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SenseTime Releases SenseNova-U1 Unified Multimodal Architecture
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HUGE OPEN-SOURCE DROP @SenseTime_AI just released SenseNova-U1! If you work with multimodal AI, you need to see this. they’ve completely killed the Visual Encoder (VE) and VAE to create a truly unified architecture (NEO-Unify). The TL;DR: → Unmatched Infographics: One of
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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 — Build Production-ready LLM Applications and Advanced Agents using Python and LangGraph" at https://
amzn.to/3JEeS6K v/ @PacktDataML 𝓦𝓱𝓪𝓽 𝓨𝓸𝓾 𝓦𝓲𝓵𝓵 𝓛𝓮𝓪𝓻𝓷:
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Optimize Claude Usage Within 5 Hour Rolling Window
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9/ Split your work across the 5 hour window Claude uses a rolling 5 hour window. It starts the moment you send your first message and resets 5 hours later. If you burn your entire limit in one morning session, the rest of the day you are locked out until reset. Two or three