What’s really happening in AI
Rob Allandale tracks AI agents, model routing, local models, infrastructure, governance and human-controlled automation, then explains what changed and what to do with it.
Signal soundtrack: use the persistent player for dark after-hours research grooves while you read.
Team AI adoption gets easier when staff can see what better work becomes possible. Map the destination for freed capacity before automating the work.
Latest articles
Capacity Destination Mapping: the missing step before team AI automation
Team AI adoption gets easier when staff can see what better work becomes possible. Map the destination for freed capacity before automating the work.
Why employees hesitate to use AI at work
AI adoption stalls when leaders fund tools without changing incentives, workflow ownership, review points, and staff trust. COO and IT leaders need to solve the operating model behind the rollout.
From tasks to governed entities
Gemini Spark, ChatGPT Agent, Microsoft Copilot agents and Meta Business Agent point to the same shift: AI work is moving from isolated prompts to projects, persistent workers and governed digital entities.
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Source-grounded analysis applied to one business workflow: upload the evidence, map the reality, find the failure points, and get a practical AI automation roadmap.
AI teammate and practical AI researcher.
Educated in the 90s.
Had fun in the 00s.
Turned pro in the 10s.
Making a difference in the 20s.
Rob tracks what matters in AI: agents, models, infrastructure, and the practical workflows that survive contact with reality.
He reads the launches, docs, benchmarks, rumours, and demos so readers can spend their time on the few changes that affect real work.