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    <title>Oxford Agentic — Guides</title>
    <link>https://oxfordagentic.com/guides/</link>
    <description>Hands-on agentic AI training in Oxford for business leaders. In one day, you build and run a working agentic AI workflow on a real task from your own work. No coding.</description>
    <language>en-GB</language>
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      <title>Three different things get sold as a 'second brain'</title>
      <link>https://oxfordagentic.com/guides/what-second-brain-actually-means/</link>
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      <description>The phrase now covers at least three different products. One is a task and attention system. One is a store of context that AI tools read. One is a gut-health talk, which is a genuine and separate field. They are sold with the same two words, so the useful question before booking anything is which problem it solves.</description>
      <pubDate>Fri, 04 Sep 2026 13:00:00 GMT</pubDate>
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      <title>Why your second brain stopped getting used</title>
      <link>https://oxfordagentic.com/guides/why-your-second-brain-stopped-getting-used/</link>
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      <description>Most second brains fail the same way: capture is easy, and the reading back never happens. The usual fix is more discipline or better folders, and it does not work. What changes the outcome is swapping the reader - building the thing for a model rather than for a future version of yourself who was never going to browse it.</description>
      <pubDate>Wed, 02 Sep 2026 19:00:00 GMT</pubDate>
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    <item>
      <title>When do AI executive cohorts run, and when should you go?</title>
      <link>https://oxfordagentic.com/guides/when-ai-executive-cohorts-run/</link>
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      <description>Executive AI programmes used to follow the academic calendar. Most now run online several times a year, so the timing question has changed: it is no longer when a cohort is available, but where you are in your own progression. The useful sequence is understand, then build, then bring it back.</description>
      <pubDate>Tue, 25 Aug 2026 08:00:00 GMT</pubDate>
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      <title>A stale second brain is worse than none at all</title>
      <link>https://oxfordagentic.com/guides/keeping-a-second-brain-from-going-stale/</link>
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      <description>A second brain decays whether or not you notice: standards change, people leave, decisions get superseded. In a note system that is clutter you skim past. In one your AI reads it is worse, because the model treats a two-year-old position as current and answers with it. The fix is a review routine, not a bigger vault.</description>
      <pubDate>Mon, 24 Aug 2026 08:00:00 GMT</pubDate>
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    <item>
      <title>Agentic workflows fail quietly. Here is how you would notice</title>
      <link>https://oxfordagentic.com/guides/how-to-notice-when-an-ai-workflow-is-wrong/</link>
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      <description>An agentic workflow rarely breaks in a way you can see. It returns something plausible, in the right format, at the right time, and quietly stops being correct. Noticing takes deliberate checks rather than attention: a written standard, a known answer you re-run, a spot-check habit, and knowing which step failed.</description>
      <pubDate>Mon, 17 Aug 2026 08:00:00 GMT</pubDate>
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    <item>
      <title>A second brain for AI is not the note-taking kind</title>
      <link>https://oxfordagentic.com/guides/second-brain-for-ai-vs-note-taking/</link>
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      <description>&quot;Second brain&quot; usually means a personal note system, with a human doing the reading. A second brain for AI serves a different reader: a model with no memory of you and no way to ask a follow-up. Notes made for yourself rarely work unedited, because they assume context the model does not have.</description>
      <pubDate>Mon, 10 Aug 2026 05:00:00 GMT</pubDate>
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    <item>
      <title>What actually goes in a second brain for AI?</title>
      <link>https://oxfordagentic.com/guides/what-goes-in-a-second-brain/</link>
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      <description>A second brain for AI holds five kinds of context: how you write, what good looks like, the decisions you have already made and why, the recurring facts of your business, and the shape of the work you repeat. It is a curated supply, not an archive - and credentials and other people's personal data stay out of it.</description>
      <pubDate>Thu, 06 Aug 2026 08:00:00 GMT</pubDate>
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    <item>
      <title>Scout, drafter, reviewer: the workflow pattern that does real work</title>
      <link>https://oxfordagentic.com/guides/scout-drafter-reviewer-pattern/</link>
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      <description>Scout, drafter, reviewer is the workflow shape behind most useful agentic AI: one step gathers the raw material, one produces a first version, and one checks it against a stated standard. Three narrow steps beat one clever prompt because each can be tested, improved and trusted separately, and the pattern transfers to almost any repeated knowledge task.</description>
      <pubDate>Wed, 05 Aug 2026 08:00:00 GMT</pubDate>
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    <item>
      <title>How to choose the task you bring to an AI bootcamp</title>
      <link>https://oxfordagentic.com/guides/how-to-choose-your-first-agentic-task/</link>
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      <description>The best first task for an agentic workflow is one you repeat, that runs on words and documents, whose output you can check at a glance, and that annoys you enough to care. Some work is worth leaving alone permanently: the writing where doing it is the thinking, and anything a person has to stand behind.</description>
      <pubDate>Tue, 04 Aug 2026 08:00:00 GMT</pubDate>
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    <item>
      <title>How to run an AI pilot that survives contact with your team</title>
      <link>https://oxfordagentic.com/guides/how-to-run-an-ai-pilot-that-survives/</link>
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      <description>AI pilots rarely fail on the technology. They fail because the pilot was designed to evaluate a tool rather than change a specific task, and because nobody who actually does the work owned it. Pick one task, give it one owner who does that task, decide in advance what better looks like, and plan for week two.</description>
      <pubDate>Thu, 30 Jul 2026 08:00:00 GMT</pubDate>
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      <title>Agentic AI for public-sector and NHS leaders: start where governance says yes</title>
      <link>https://oxfordagentic.com/guides/agentic-ai-for-public-sector-and-nhs-leaders/</link>
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      <description>Public-sector and NHS leaders can apply agentic AI today by choosing tasks their governance already permits: assembling papers from public documents, synthesising consultation responses, first drafts of reports in house style. Decisions about individuals, clinical judgement and personal data stay out of scope. The constraint is not a blocker - it is the selection criterion for what to build first.</description>
      <pubDate>Wed, 29 Jul 2026 08:00:00 GMT</pubDate>
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      <title>Agentic AI for consultants: sell the judgement, not the assembly</title>
      <link>https://oxfordagentic.com/guides/agentic-ai-for-consultants/</link>
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      <description>Consultants get the most from agentic AI on the assembly work inside an engagement: synthesising discovery interviews, drafting proposals from past proposals, turning meeting notes into structured findings. The advice, the judgement and the client relationship stay human. Unlike hiring another pair of hands, a workflow built for one engagement is still there for the next one.</description>
      <pubDate>Tue, 28 Jul 2026 08:00:00 GMT</pubDate>
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    <item>
      <title>Nine questions to ask before booking AI training</title>
      <link>https://oxfordagentic.com/guides/questions-to-ask-before-booking-ai-training/</link>
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      <description>Ask what you will personally have running at the end, whose work you build against, how many people are in the room, what happens when you get stuck, and what the day deliberately does not cover. A provider who answers those five plainly is usually worth the day. Vagueness on the first two is the warning sign.</description>
      <pubDate>Sun, 26 Jul 2026 08:00:00 GMT</pubDate>
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    <item>
      <title>You've finished an AI executive programme. Now what?</title>
      <link>https://oxfordagentic.com/guides/after-the-ai-executive-programme/</link>
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      <description>AI executive programmes are good at what they set out to do: the strategy, the governance, the frame. What most leave open is the build - you finish able to talk about agentic AI credibly and still without a working example in your own work. The next step is not another course; it is one built workflow.</description>
      <pubDate>Sat, 25 Jul 2026 08:00:00 GMT</pubDate>
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    <item>
      <title>A plain-English glossary of agentic AI</title>
      <link>https://oxfordagentic.com/guides/agentic-ai-glossary/</link>
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      <description>Agentic AI comes wrapped in vocabulary that makes a simple idea sound harder than it is. This glossary defines the terms that actually come up - agent, workflow, orchestration, prompt, context, tool use and a handful more - in plain English, for business leaders who want to build rather than translate.</description>
      <pubDate>Sat, 25 Jul 2026 08:00:00 GMT</pubDate>
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    <item>
      <title>AI bootcamp, AI course or executive education: which do you need?</title>
      <link>https://oxfordagentic.com/guides/ai-bootcamp-vs-course-vs-exec-education/</link>
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      <description>An executive education programme gives you the strategic frame, an online course gives you knowledge at your own pace, and a bootcamp gives you a working result. The right choice depends on what you want to hold at the end: a view, an understanding, or something built and running against your own work.</description>
      <pubDate>Sat, 25 Jul 2026 08:00:00 GMT</pubDate>
    </item>
    <item>
      <title>What does 'hands-on' actually mean in AI training?</title>
      <link>https://oxfordagentic.com/guides/what-hands-on-ai-training-actually-means/</link>
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      <description>&quot;Hands-on&quot; in AI training covers four different things: watching a live demo, following a guided exercise, building against a set brief, and building against your own real task. Only the last one reliably changes how you work afterwards. The test is simple - ask what you will personally have running at the end.</description>
      <pubDate>Sat, 25 Jul 2026 08:00:00 GMT</pubDate>
    </item>
    <item>
      <title>Agentic AI for business leaders: where to start</title>
      <link>https://oxfordagentic.com/guides/agentic-ai-for-business-leaders-where-to-start/</link>
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      <description>If you already use AI daily and want to go further, the place to start is one real task from your own work, not another tool. Pick a job you repeat, break it into a few narrow steps, and hand each step to the model in turn. That shift, from prompting to orchestrating, is where agentic AI begins.</description>
      <pubDate>Thu, 23 Jul 2026 08:00:00 GMT</pubDate>
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      <title>Agentic AI for finance teams: where it actually helps</title>
      <link>https://oxfordagentic.com/guides/agentic-ai-for-finance-teams/</link>
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      <description>Finance teams get the most from agentic AI on the repeated, evidence-heavy work around the numbers rather than the numbers themselves: drafting commentary, triaging reconciliations, assembling board packs, first-pass contract review. The judgement, the sign-off and the controls stay with the team. The machine removes the assembly, not the accountability.</description>
      <pubDate>Thu, 23 Jul 2026 08:00:00 GMT</pubDate>
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    <item>
      <title>Why in-person beats online for learning AI</title>
      <link>https://oxfordagentic.com/guides/why-in-person-beats-online-for-learning-ai/</link>
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      <description>Online courses are good at explaining AI and poor at getting you to build with it. The thing that stalls people is rarely the concept; it is being stuck on setup with no one to unstick them. A facilitated day in a small room removes that friction, so you leave having built something real rather than bookmarked another video.</description>
      <pubDate>Thu, 23 Jul 2026 08:00:00 GMT</pubDate>
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    <item>
      <title>What is an agentic AI bootcamp?</title>
      <link>https://oxfordagentic.com/guides/what-is-an-agentic-bootcamp/</link>
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      <description>An agentic AI bootcamp is a short, hands-on course where you build and run a working agentic workflow rather than learn about one. You bring a real task from your own work, chain several narrow AI steps together to handle it, and leave with the workflow running. Most need no coding.</description>
      <pubDate>Wed, 22 Jul 2026 08:00:00 GMT</pubDate>
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