100% this is the way. /goal with Hermes as orchestrator and Codex/Claude Code as builder that could all be tracked on a single Kanban makes it really 2028.
AUTOMATION
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Controlling Algorithms: Why I Built My Own
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The one who controls the algorithm controls you. Why I built my own. 🙂
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AI coding assistant automates workflows and learns commit patterns
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loads – it's super helpful, it has learnt my commit patterns, testing nuances and surprisingly also what order of things do I ask and automatically run workflows that I'd run over and over!
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Email-based mission control prototype demo
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okay this email based mission control i prototypes last night is pretty cool: > starts with email
> grab and summarize content about participants from crm/notes
> auto bucket emails into workstreams using context about participants
> auto bucket emails into specific project -
Hope for AI Agents to Automate Newsletter Publishing
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I hope someone hacked the ability for my AI agents to publish my newsletter automatically.
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AI Agent Development Over Two Months
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I built the agent over two months. And Levangie Labs is better than any other
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Claude Cowork’s Federated MCP Performance Benchmark
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Claude Cowork just got 10x more powerful!
— Sumanth (@Sumanth_077) 15 mai 2026
Glean benchmarked centralized vs federated MCP in Claude Cowork. Same harness, same model, same queries, different context layer.
The federated approach: Each data source (Gmail, Slack, Drive, Salesforce) has its own MCP server. Claude… pic.twitter.com/0lSWyHsKriClaude Cowork just got 10x more powerful! Glean benchmarked centralized vs federated MCP in Claude Cowork. Same harness, same model, same queries, different context layer. The federated approach: Each data source (Gmail, Slack, Drive, Salesforce) has its own MCP server. Claude
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AGI ALPHA: public implementation layer for AI self-improvement
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AI self-improvement is now a multi‑billion‑dollar category. AGI ALPHA is building the public implementation layer: proof‑bound agents, SecureRails, Open RSI Eval, Evidence Dockets & replayable enterprise machine labor. https://
github.com/MontrealAI/agi
alpha-first-real-loop
… #AGIALPHA -
Machine Learning Drives Predictive Maintenance ROI in Manufacturing
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Georgia-Pacific saved up to $1 million per machine using @AWS machine learning for predictive maintenance on their paper mills. That is the kind of ROI that makes the AI conversation in manufacturing very concrete. #HannoverMesse #ManufacturingAI #AWS #aws_ai pic.twitter.com/JJG9KYAboO
— Lucian Fogoros (@fogoros) 15 mai 2026Georgia-Pacific saved up to $1 million per machine using @AWS machine learning for predictive maintenance on their paper mills. That is the kind of ROI that makes the AI conversation in manufacturing very concrete. #HannoverMesse #ManufacturingAI #AWS #aws_ai
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Moving AI Agents Beyond the Prototype Stage
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AI agents fail when they stop at the prototype stage • Multimodal input
• Structured output
• APIs & interfaces
• Tools + memory + RAG Real value comes from usability, not capability alone. Via Giuliano Liguori (
@ingliguori
) #AI #AIAgents #Tech