Oxford Agentic

Writing on agentic AI

Short, practical pieces for people who intend to build something rather than form a view.

All guides


Choosing how to learn

Formats, claims, and what to ask before booking anything.

October 2026

Getting a one-day AI bootcamp approved, and what to promise

The request that gets a day out signed off names one task, one deliverable and one date. What to put in it, what comes back, and what not to promise.

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October 2026

Who should take the seat - you, or someone in your team?

One seat, two candidates. Why this is a question about who owns the task rather than who is most senior, and the three tests that settle it.

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October 2026

Should you run an in-house AI day, or send people to a cohort?

Most providers only sell the in-house version, so the comparison is rarely written down. What each format is good at, and the question that settles it.

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October 2026

How long does it take to build a second brain for AI?

The usual answer is weeks of capture habit. A second brain for AI is built differently - a working one in a day, then minutes at a time to keep it current.

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September 2026

Claude, Cowork, Claude Code or Codex: which one for which job

Four AI tools, overlapping names, and most comparisons are written for developers. How to choose if your work ends in documents rather than software.

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October 2026

Three different things get sold as a ‘second brain’

The phrase is attached to at least three unrelated products, all bookable, all using the same two words. How to tell which one you are looking at.

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October 2026

When do AI executive cohorts run, and when should you go?

Executive AI cohorts no longer cluster by season - most run online several times a year. What that changes about when to book, and what to do between them.

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October 2026

Nine questions to ask before booking AI training

A buyer’s checklist for AI courses and bootcamps - nine questions worth asking any provider, and what a straight answer to each one sounds like.

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October 2026

You’ve finished an AI executive programme. Now what?

The gap most AI executive education leaves - and how to turn a strategic understanding of AI into something running in your own work.

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October 2026

AI bootcamp, AI course or executive education: which do you need?

The three main ways senior people learn AI, what each is actually for, and how to choose based on what you want to walk away with.

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October 2026

What does ‘hands-on’ actually mean in AI training?

Almost every AI course calls itself hands-on. A practical test for what the word actually covers, from watching demos to building against your own work.

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September 2026

Why in-person beats online for learning AI

Online courses teach you about AI. A day in the room is what gets an agentic workflow built. Here is the difference, and why it matters.

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Putting it to work

Where it helps in a particular kind of job, and how to make it stick.

October 2026

Is your AI workflow saving time, or just feeling faster?

On simple tasks, AI has been measured to save effort rather than time, not both. What that means for a multi-step workflow, and what to measure instead.

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September 2026

The agent wrote the code. Why is nothing live?

Coding agents write working code and stop. The distance between that and something other people can open is six specific things, none of them coding.

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September 2026

Getting an agentic workflow past IT, legal and your manager

The questions IT, legal and your manager will ask before an agentic workflow goes live, and how to have the answers written down before the meeting.

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October 2026

Is it safe to put company documents in an AI second brain?

A second brain is not one pasted document - it is material your AI tools read again and again. Three questions that decide what can safely go in.

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September 2026

Where the human actually goes in an agentic workflow

Most agentic workflows put the human in the wrong place, relaying text between tools. Where oversight belongs, where it is theatre, and when to move it.

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September 2026

Why your second brain stopped getting used

Capture was never the problem. Most second brains die because the reading half was left to you. What changes when the reader is a model instead.

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August 2026

A stale second brain is worse than none at all

Note systems rot into clutter you skim past. A second brain your AI reads rots into confident wrong answers. What decays, and the routine that catches it.

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August 2026

Agentic workflows fail quietly. Here is how you would notice

Software fails loudly. An agentic workflow fails by handing you a confident answer that is wrong. Four checks that catch it before anyone else does.

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October 2026

What actually goes in a second brain for AI?

The five kinds of context worth storing so your AI tools stop giving generic answers - and the things that should never go in.

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October 2026

How to choose the task you bring to an AI bootcamp

The task you pick decides what you get out of a build day. Five tests for choosing well, and the work worth leaving alone permanently.

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October 2026

How to run an AI pilot that survives contact with your team

AI pilots rarely fail on the technology. They fail because nobody owned the task, success was never defined, and week two was never planned for.

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August 2026

Agentic AI for public-sector and NHS leaders: start where governance says yes

How to apply agentic AI inside a public-sector organisation - which work suits it, which never will, and why governance is the design brief, not the blocker.

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July 2026

Agentic AI for consultants: sell the judgement, not the assembly

Which consulting work suits an agentic workflow, which does not, and how a workflow built once becomes margin on every engagement after it.

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October 2026

Agentic AI for finance teams: where it actually helps

The finance work that suits an agentic workflow, the work that does not, and where human judgement has to stay.

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