The gap between a promising pilot and a team that actually works differently is rarely about the model. These posts are about workflow design, what AI costs when nobody's watching, data governance, and why most rollouts stall at the same point.
26 posts · 11 guides and explainers
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Project management is mostly synthesis, chasing, and translation between audiences — three things AI handles well. Here's how to hand those over without losing the judgement that keeps a project honest.
5 min readMost people get a genuinely good AI result, feel pleased, and then start from scratch the following week. The gap between occasional wins and compounding ones is about twenty minutes of writing.
5 min readUber exhausted its 2026 AI budget in four months. Sam Altman says enterprise cost complaints are now 'a meme.' The root cause isn't reckless spend — it's deploying always-on agents for tasks a single prompt could handle. Here's the three-tier framework that fixes it.
5 min readAlmost every team that adopts AI builds a shared prompt library, and almost all of them are abandoned within a quarter. The reasons are consistent, and so is the version that survives.
5 min readCharity Majors identified why AI disagreements stay unresolved on most teams: there's no natural feedback loop between the person who moves fast with AI and the person who deals with the quality failures. Here's how to build one.
5 min readUber blew its annual AI budget in months. Simon Willison's $200 subscription runs $2,180 in compute. Anthropic's revenue went 5x in five months. If your team budgeted for AI tools in Q4, those numbers are already wrong — here's how to reset them.
4 min readEnterprise AI rollout advice is written for organisations with a change function. For a team of ten, most of it is overhead. Here's the sequence that works at small scale.
6 min readLicences issued and hours saved are the two most common AI metrics and neither survives contact with reality. Four measures that tell you something, and one number worth having.
5 min readWhen Anthropic updated Claude to Opus 4.7, real-world token usage jumped roughly 40% — with no pricing announcement. Here's what that means for any team running AI workflows at any scale.
5 min readMost AI training teaches tools, measures completion, and produces no change in how anyone works. Here are the questions to ask a vendor before you buy, and the ones that separate real skill-building from expensive awareness-raising.
5 min readAndrej Karpathy published a system that turns a folder of raw notes into a living, self-updating wiki — without writing a word of it himself. The practical version is closer than you think.
5 min readKaiser Permanente nurses are cutting short patient calls to protect AI-generated performance scores. Meta employees are suing over AI layoff algorithms that flagged protected-class workers. Both failures share one root: a score that can't see context.
5 min readDario Amodei publicly walked back his 'ten years per year' prediction last week and named three specific blockers. One of them is about you.
5 min readMcKinsey reports 30%+ of its consulting fees are now tied to client outcomes, not hours. Deloitte warns labour-based consulting could shrink significantly by 2035. Here's what the shift from hours to outcomes means for every professional who sells time.
5 min readCourt documents unsealed July 2 showed Anthropic drew two non-negotiable redlines — no mass surveillance, no autonomous weapons — and lost government access because of it. The 19-day Fable 5 suspension was the operational consequence. Here's what it means for how you build with AI.
5 min readBoth OpenAI and Anthropic have their best models gated by government approval — not pricing tiers, not waitlists. If you built workflows around those models, here are three things to do before it happens again.
5 min readOpenAI's Codex hit 5M weekly users — and 1 in 5 is a non-technical professional using it for data analytics, sales, and product design. In the same week, ChatGPT memory jumped from 41.5% to 82.8% accurate. The skill gap is no longer about code.
5 min readClaude Pro subscribers consume $200–400 of compute per $20/month. OpenAI loses $1.22 for every $1 earned. GitHub Copilot switches to usage-based billing June 1. The price you pay for AI today is not the price it costs to run. Here's how to plan for when that changes.
5 min readShopify runs its internal AI coding agent exclusively in public Slack channels — never DMs. The whole company learns by watching. Here's how to apply the same principle without building a custom agent.
3 min readOpenAI is spending $4B to send consultants into organizations to teach them how to use AI. Malta requires an AI literacy course before citizens get free ChatGPT Plus. Both moves prove the same thing: the bottleneck isn't access to the tools — it's knowing what to do with them.
4 min readTelus deployed real-time accent modification on offshore call-centre agents without disclosing it to customers. Labour unions called it deceptive. Two rival telecoms declined. Three questions every manager should answer before rolling out any AI that changes how people present themselves.
4 min readOpenAI's B2B Signals data shows the AI gap has stopped being about who uses it and started being about what they use it for. Typical firms ask AI questions. Frontier firms build AI into multi-step execution — and the difference is widening.
5 min readNEC deployed Claude to 30,000 employees with a dedicated Center of Excellence and structured training. The lesson for any team manager is the same regardless of scale: the bottleneck is never the tool — it's the first task.
4 min readOpenAI released a free, on-device model that catches personally identifiable information before text reaches any server. 96% accuracy across 8 categories — and the 4% it misses is where your judgment still matters.
4 min readAtlassian will start training AI on Jira and Confluence data in August 2026. Most plans are opted in by default. Here's what that means for your team and what to actually do about it.
4 min readOpenAI killed Sora and redirected compute toward automated researchers. That's a capital allocation signal about which knowledge work skills survive. Three specific ones to invest in now.
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