AI-ready ≠ tool-ready. This cheatsheet shows the real shift:
Models → Systems
Prompts → Planning
Outputs → Outcomes Agentic AI rewards systems thinkers — not tool collectors.
AUTOMATION
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Agentic AI: From Tools to Systems Thinking
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Aliyun Tongyi Launches CoPaw Open-Source Personal AI Assistant
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Check this out, the full-scenario personal assistant CoPaw under Aliyun's Tongyi Yep, it's exactly because we saw the hype around @openclaw that we came up with this. In theory, it's more friendly to domestic IMs, supports Skills, self-hosting, and is open-source friendly
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Agentic AI: Autonomy, Guardrails, and Multi-Agent Architecture
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Chatbot ≠ Agentic.
— Dr. Debashis Dutta (@debashis_dutta) 14 février 2026
RPA ≠ Agentic.
RAG ≠ Agentic.
Agentic AI = orchestrator + memory + planning + tools + feedback, plus multi-agent specialists (retrieval/coding/citations).
The board question: where do we allow autonomy—and with what guardrails? pic.twitter.com/AEnajJZeEPChatbot ≠ Agentic.
RPA ≠ Agentic.
RAG ≠ Agentic. Agentic AI = orchestrator + memory + planning + tools + feedback, plus multi-agent specialists (retrieval/coding/citations). The board question: where do we allow autonomy—and with what guardrails? -
Using AI agents for project planning and multitasking
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I’ve genuinely enjoyed it too – work with it on a plan and then it just goes out and chugs it out. Def makes it easier to multi task and work on diff projects at the same time too.
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Accelerating Time: AI’s Mission to Compress Process Durations
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Collapse minutes to seconds,
hours to minutes,
and days to hours.
That is what we are here to do. -
Book: Hands-on Guide to Building AI Agents
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AI Agents in Action: http://
amzn.to/44kbHsL v/ @ManningBooks Gain hands-on experience in these areas: Understand & implement AI agent behavior patterns Design & deploy production-ready intelligent agents Leverage the OpenAI Assistants API and complementary tools -
Designing Machine Learning Systems for Production
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Designing #MachineLearning Systems — An Iterative Process for Production-Ready Applications: http://
amzn.to/46epLSi by @chipro — 𝓣𝓸𝓹𝓲𝓬𝓼:
Engineering data and choosing the right metrics to solve a business problem Automating the process for continually developing, -
Les 4 boucles fondamentales de l’IA autonome
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Agentic AI isn’t about learning 10 steps. It’s about mastering 4 loops:
Perception → Memory → Planning → Action. Frameworks change.
Autonomy principles don’t. Build agents that think in systems, not prompts. -
AI Will Eliminate High-Cost Low-Value Corporate Roles First
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True. Le monde corporate est rempli de bullshit jobs. Mais avec des costumes. Et des titres censés donner l'air important genre "Managing partner". Ce sont les premiers qui disparaîtront avec l'IA car ils coûtent cher mais leur valeur ajoutée est desormais commoditisée.
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Claude audit reveals 60% onboarding drop-off causes
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9. Onboarding Flow Audit (Drop-off Analysis) Our signup flow had a 60% drop-off rate and I had no idea why. I fed Claude our analytics and got this audit: Prompt: — You are a conversion rate optimization expert auditing our onboarding flow