Why we build and own our own AI products
Most AI studios only build for others. We do both — and owning a live product like All Day Books makes every client engagement sharper.
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Notes from the studio.
How we think about building, owning and scaling AI products, deploying agents you can actually trust in production, and keeping the books done with AI.
A practical guide to deploying AI agents (without the hype)
A no-nonsense playbook for getting a useful AI agent into production: pick the right first workflow, wire it safely, and measure it.
Read articleAI agents vs chatbots: what's the real difference?
“Agent” has become a marketing word. Here's the practical line between a chatbot that talks and an agent that takes action.
Read articleBuild vs buy: when to commission a custom AI agent
Off-the-shelf tools are great until your workflow is the differentiator. A clear framework for deciding when custom is worth it.
Read articleMaking Tax Digital in the AI era: what UK businesses need to know
MTD pushed UK businesses to keep digital records. AI bookkeeping is what makes those records effortless — and always quarter-ready.
Read articleWhat “production-grade” actually means for AI agents
A chatbot that demos well is not an agent you can trust in production. Here's the line between the two — and how we hold it.
Read articleHow AI bookkeeping actually works
Categorisation, reconciliation, reporting — under the hood of an AI bookkeeper, and why it's more reliable than a rules-based one.
Read articleHuman-in-the-loop: designing AI agents people trust
Autonomy isn't all-or-nothing. The art of a trustworthy agent is choosing exactly where a human should stay in the loop.
Read articleAI for small-business finance: cut 10 hours of admin a month
Where AI genuinely saves time in a small business's finances — and where it doesn't. A practical, honest breakdown.
Read articleAll Day Books: bookkeeping that never clocks off
Books shouldn't wait for month-end. A look at how our flagship app keeps finances reconciled, categorised and tax-ready in real time.
Read articleEvals and observability: how we keep AI agents reliable
Reliability isn't a model choice, it's a discipline. The two practices that separate agents you can trust from agents you hope work.
Read articleThe AI venture studio model, explained
What a venture studio is, why the model fits AI especially well, and how XO Ai uses it to build, own and scale products.
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