AI content is the least interesting bit
The useful part of AI is not making more posts. It is changing how the work gets done.
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Everything published under this signal: diary notes, insights, projects, resources, videos and linked company pages.
The useful part of AI is not making more posts. It is changing how the work gets done.
Before adding volume, the site needed a clearer split between short notes, deeper insights and project workstreams.
Policies matter, but most teams do not yet understand the work they are trying to govern.
SAP is embedding Claude as a primary reasoning and agentic capability across SAP Business AI Platform. The enterprise agent thesis is moving from pitch to product.
A short X video is a useful signal: AI-generated UGC-style ads are moving from novelty toward something brands will actually test in the wild.
Hermes Agent now supports xAI Grok OAuth, so a Grok subscription can power reasoning, voice and image/video generation inside a persistent open-source agent.
Nex AGI has put a 397B total parameter agentic MoE model on OpenRouter with a free route. The useful signal is not the headline size, it is what free agentic capacity does to the cost of experimentation.
Before adding memory to an agent, decide what it should remember, what state matters, and when the workflow should stop being a conversation and become code.
The advantage is not in one-off instructions. It is in reusable skills, memory and workflows that get smarter each time they run.
Most people are still calling chat interfaces and one-click tools “agents”. That confusion matters because agent architecture is a different category entirely.
Most agent failures are not model failures. They are scope, context and workflow failures dressed up as autonomy.
Prompt codes are not hidden buttons inside ChatGPT. They work because they give the model a role, a lens and a standard. That is management, not magic.
Geoffrey Hinton does not frame AI as a better tool. He frames it as a different kind of intelligence: copyable, shareable, hard to kill, and increasingly capable of building models of the world.
Netflix is testing AI agents that can manage, optimise and purchase ads. That is a clearer signal than another AI content demo: marketing is moving from asset generation to campaign operations.
Google’s AI Overviews and AI Mode do not create a separate magic SEO game. They still sit on top of crawling, indexing, retrieval, ranking and page quality. That does not make AI-ready infrastructure pointless. It just means people are mixing up technical accessibility with citation worthiness.
The wrong question is not which model is best. It is which model belongs in which part of the system. Grok looks increasingly useful as the live signal layer, while GPT and Opus handle the high-stakes work.
AI agents are getting hands. The serious business question is no longer prompts; it is how we manage permissions, evidence, workflow and failure when software can actually act.
Cloudflare's Email Service and Agentic Inbox show email becoming a real interface for agents: cheap inbound routing, included outbound volume, and human approval before anything risky gets sent.
Your customer's first move isn't Google any more. It's a conversation with a machine, and that machine is writing your shortlist before anyone visits your site.
An introduction to Jason Vs The Noise — what it is, who it is for, and why this public build exists.
Jason reflects on Geoffrey Hinton's lecture Will AI Outsmart Human Intelligence, and why the most uncomfortable idea is not smarter AI but structurally immortal intelligence.
A video explainer on Google's AI Overviews, AI Mode, llms.txt, SEO, AEO, and why AI Search is still grounded in Search systems.
A video explainer on why Grok is becoming interesting as the live operator layer in an agent stack, and why the right model question is about role, not dominance.
A video companion to the Cloudflare email-for-agents insight, covering why email is becoming a practical interface for agents and why human approval still matters.
A free Foundry tool for checking how visible your business is inside AI answer engines.
A practical checklist for mapping where AI can help, hurt or distract your business.