8 pieces on agent skills — practical workflows, case studies and field notes.
Stanford's Hazy Research has shipped the first credible open-source framework for personal AI agents that run on your own hardware. For UK operators, local-first has stopped being a manifesto and started being a curl command.
Anthropic just dropped Claude Fable 5 into the $20 tier and MiniMax M3 matches it on agentic work. For a small team, the value question has quietly flipped.
The government has launched a £500m Sovereign AI Unit to back home-grown AI firms. The headline money is for startups — but the knock-on effects reach much further down the chain.
The Model Context Protocol has scaled faster than React, and its next release rewrites the core to be stateless. Here is what that unlocks for a small team wiring agents to its own systems.
LangChain's Deep Agents reference architecture has been called the most significant open-source agent release of 2026. Here's what it means in plain terms — and when a small team should actually copy it.
Gemma 4 adds built-in tool calling and vision support, and Ollama now runs it fully. For a retail team, that means document, shelf and stock workflows that never send an image to the cloud.
Microsoft has merged AutoGen and Semantic Kernel into one framework, with general availability targeted for the end of Q1 2026. For teams choosing a stack, fewer competing abstractions is good news — but ask the lock-in questions first.
Microsoft has open-sourced an Agent Governance Toolkit with a policy engine that intercepts every agent action before it runs. Even a small team should put a layer like this in front of action-taking agents.
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