It's interesting to observe several companies converging towards integrating agentic AI features into their products, while I find that the most important value comes from companies that make their product usable by AI agents (MCP, CLI,
SOFTWARE
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dcode: model-agnostic harness, recommended with Fireworks
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It is indeed very good! Do not try it in claude code/codex – these harnesses are too tailored for their proprietary models. dcode (deepagents code) is a model-agnostic harness – try it there with @FireworksAI_HQ: dcode –model
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macOS YouTube TV menu bar app built with AI one-shot
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I wanted a macOS Youtube TV menu bar app so I could watch the world cup game while working. Asked codex, one-shot it with /goal. We really live in the golden age of ideas.
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Book on LLMs for Production with Prompting, Fine-Tuning, and RAG
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See this >> "Building LLMs for Production: Enhancing LLM Abilities and Reliability with Prompting, Fine-Tuning, and RAG" >> at http://
amzn.to/411Utz5 by Louis-François Bouchard @Whats_AI Covers:
LLM Fundamentals, Architecture, & LLMs in Practice Prompting & Frameworks -
Brain: Self-improving context graph for stateful Computer tasks
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We're rolling out Brain: a self-improving context-graph of all your sessions, connectors, and files. Brain updates itself overnight with fresh context proactively, and feeds itself to every task on Computer, allowing Computer to be stateful and self-improving. Available to all x.com/perplexity_ai/…
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Pragmatic Machine Learning with Python: Deploy ML Models in Production
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"Pragmatic Machine Learning with Python: Learn How to Deploy Machine Learning Models in Production" Get it here: http://
amzn.to/38gYRxU -
Architecting AI Software Systems: Integrating AI with Traditional Architectures
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"Architecting AI Software Systems: Crafting robust and scalable AI systems for modern software development" at http://
amzn.to/4oMi9Ag v/ @PacktDataML 𝓚𝓮𝔂 𝓕𝓮𝓪𝓽𝓾𝓻𝓮𝓼:
Learn to integrate AI with traditional software architectures, enabling architects to design -
CHRO uses AI ‘Claudia’ to boost productivity 73% in 8 weeks
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Talked to a non-technical CHRO who’s seen 73% productivity gains with AI. She built a time invoicing system with “Claudia” to audit her own output and impact. In 8 weeks, she ran 310 Cowork sessions, built 17 skills, set up 5 recurring scheduled workflows, and created 1 chief
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Reviews Show Angela Built Better Characters with Guide
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reviews are in Angela used the Creator Guide to build better Characters, and it shows access at http://
c.ai/guide (๑˃̵ᴗ˂̵) -
AI cascade detects fruit mislabeling at self-checkout counters
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The "banana trick" at self-checkout works by ringing up a £4 avocado as a 40p onion The fix is a simple AI cascade. @Ultralytics YOLO detects each item, a classifier (EfficientNet, MobileNetV4, etc) tells you what it actually is, and then cross-checks against the POS scan