Here's the part that actually got me: It works across Gmail, Slack, Google Sheets, GitHub, Jira — 1,000+ apps. But the real thing is it remembers your workflows. "Do what you did last Tuesday for the Q3 report." And it just… does it. No re-prompting. No setup from scratch.
SOFTWARE
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AI automation delivers news, posts, and analysis from a single prompt.
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I woke up to:
— AI Breakfast (@AiBreakfast) 7 avril 2026
– 10 AI news summaries with links in my inbox
– An Instagram post already live
– A competitor analysis emailed to me
I opened X zero times yesterday.
All from one prompt on @Pokee_AI's PokeeClaw. pic.twitter.com/nE9kno1NbKI woke up to: – 10 AI news summaries with links in my inbox
– An Instagram post already live
– A competitor analysis emailed to me I opened X zero times yesterday. All from one prompt on @Pokee_AI
's PokeeClaw. -
PokeeClaw: Enterprise AI Agent Platform That Actually Does the Work
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PokeeClaw is a different beast. Enterprise-grade AI agent platform. 1,000+ integrations. RL-powered tool selection. Secure sandbox. I test AI agents constantly for this newsletter. Most are demos. This one just… did the work.
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Connected AI Systems: The Next Evolution Beyond Individual Tools
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The shift isn’t “more AI tools” It’s connected AI across systems What stood out to me with this approach: → Pulls data from email, CRM, Slack, docs, code → Works across multiple LLMs, not locked into one → Executes workflows, not just answers questions Example: Ask in Slack: “Which deals are at risk this quarter?” → AI analyzes CRM signals → Generates a plan → Can take action That’s a different level of leverage
→ View original post on X — @ronald_vanloon, 2026-04-07 15:00 UTC
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MagicPathAI Update Enhances File Sharing with Prototype Feed
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We pushed a cool update in @MagicPathAI.
— Pietro Schirano (@skirano) 7 avril 2026
Now when sharing a link to a public file, on mobile you see a "feed" of all the prototypes in there.
It's such a cool way to share projects with your team and clients, and truly only possible on our platform. pic.twitter.com/Xuhb85TAJFWe pushed a cool update in @MagicPathAI
. Now when sharing a link to a public file, on mobile you see a "feed" of all the prototypes in there. It's such a cool way to share projects with your team and clients, and truly only possible on our platform. -

Agentic Maritime Anomaly Analysis with Generative AI
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Agentic Maritime Anomaly Analysis with Generative AI! #BigData #Analytics #DataScience #AI #MachineLearning #NLProc #LLM #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode geni.us/Agentic-Maritime
→ View original post on X — @gp_pulipaka, 2026-04-07 14:26 UTC
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30 Production-Ready AI Agent Systems and Architectures
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30 Agents Every AI Engineer Must Build — Build production-ready agent systems using proven architectures and patterns: http://
amzn.to/41ckg6z via @PacktDataML —
What you will learn:
Deploy production-ready agent systems that scale securely and reliably
Use LangChain and -

Migrating Apache Airflow orchestration to Databricks Lakeflow
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If you’re running Apache Airflow in production, this guide shows how common orchestration patterns map to Lakeflow Jobs, Databricks’ built-in orchestrator. See how control flow, triggers, parameters, and dynamic execution work when orchestration is integrated with the lakehouse,
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Free Claude Code Tutorial for Local AI Workflows
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🚨 Este tipo acaba de explicar cómo usar Claude Code completamente gratis.
— SONIA (@S0N_IA_) 7 avril 2026
Un tutorial completo donde muestra cómo ejecutarlo en local, con modelos open-source y flujos completos de agentes.
Si estás aprendiendo IA, esto te interesa 👇 pic.twitter.com/Q8y8o3rEWRThis guy just explained how to use Claude Code completely for free. A complete tutorial where he shows how to run it locally, with open-source models and full agent workflows. If you're learning AI, this will interest you
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Open-Source and Local AI: The Future of Decentralized Intelligence
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Let’s go open-source and local AI!
