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Resources

Resources for planning and building AI systems

Guides, comparisons, reference architectures, templates and a glossary, written from the systems we build and run. Filter by type, service or industry. Everything is free to read, every outside fact carries the date we checked it, and anything not yet reviewed or published says so.

Featured guide

Awaiting founder review

How to build a RAG chatbot

Written from the assistant running on this site: how content is ingested and versioned, how retrieval finds the right passage, when the assistant declines to answer and how a conversation reaches a person.

  • Versioned ingestion
  • Hybrid retrieval
  • Confidence gate
  • Cited answers and handover
Read the guide: How to build a RAG chatbot

The resource library

Browse the library

Pick a type, then narrow it by the service or industry you are planning for.
  • Awaiting founder review: published for reading, kept out of search engines until the founder has reviewed it.
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Everything in the library, shelved by type. Items still being written are listed so you can see what is coming, but they are not links yet.

Comparisons

All comparisons

Tools and reading

Method

How this library is written

The library is written the way we would want to read it as buyers: from working systems, with the method visible and the gaps admitted.

  • Written from systems we build and run. Where a real configuration exists, such as the assistant on this site, the guide quotes it.
  • Outside facts are cited from the publisher’s own page with the date we read it. Regulations, vendor limits and billing rules change, so the date matters.
  • Guides and comparisons are reviewed by the founder before search engines are invited to index them, and each byline says whether that has happened.
  • Demos carry a Sample data label and worked examples a Concept build label. Nothing here describes a client project.
  • An updated date changes only when the content does, so a date is a real signal of freshness.

Every guide and comparison is written to be useful whoever builds your system: your own team, another vendor or us.

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FAQ

Frequently asked questions

Why are some resources marked Awaiting founder review?

They are finished and published for reading, but the founder has not reviewed them yet. Until he does, search engines are asked not to index them. The label comes off, and the review date appears in the byline, once the review is done.

Are these resources free to use?

Yes. Guides, comparisons and architectures are free to read with no sign-up, and templates are free to download and adapt for your own projects. If you quote a guide, a link back to it is appreciated.

Can we use these guides with another vendor or our own team?

That is the intent. The checklists, discovery questions and evaluation advice apply whoever builds the system, and several pages say plainly when hiring us would be the wrong choice.

Where should we start if this is our first AI project?

Start with the comparison of chatbots, AI agents and automation to name the kind of system you need, then read the guide for that service area. If you would rather talk it through, the scoping call is free.

Do any of these resources describe real client projects?

No. They are written from our own systems, such as the assistant on this site, and from reference designs. Worked examples are labelled Concept build and demo data is labelled Sample data.

How do we report a mistake or an outdated fact?

Send it through the contact page with the page and the line in question. We check it against the source, correct the page if needed and change its updated date so the fix is visible.

Next step

Have a workflow in mind? Let’s scope it together.

Book a free 30-minute strategy call. Bring one process you want to automate and we will talk through scope, integrations and a sensible first step.

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