10 pieces on senior staff — practical workflows, case studies and field notes.
How small teams are deploying quantised Gemma models on commodity GPUs to run private, offline pipelines. No cloud, no data leaving the building.
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.
The UK is preparing its first fully sovereign frontier AI model, with startup Cosine leading and a roster of major British firms on design. Here's why data residency and procurement confidence are the real story.
A frontier-grade model with open weights, a million-token context window and native multimodality. For small teams, it reframes what is possible without a per-seat cloud contract — if you can find the hardware.
A 27B model that reportedly tops consumer-hardware leaderboards and fits in a single 24GB card at Q4. For a sole trader or a small professional-services team, that is the sweet spot worth understanding.
AMD's software stack spent years as the awkward alternative to NVIDIA. In 2026 it is a credible cost play for a back-office team — provided you check a few things first.
An illustrative scenario, grounded in reported logistics AI deployments, shows how route optimisation turns a daily planning grind into a quick review — and pays for itself inside a year.
Meta's Llama 4 Scout brings a ten-million-token context window into the open. For logistics and data-heavy teams, the real question is what a window that big is — and isn't — actually good for.
CrewAI's 2026 release adds Flows — a lower-level, event-driven orchestration layer beneath its multi-agent crews. For predictable back-office and logistics work, that structure often beats a loose crew.
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