Each of these takes a position. Where our commercial interest points one way and the honest answer points the other, we have gone with the honest answer — those are the ones worth reading.
Introduction transcript. Client: Build our own, or buy something ready-made? Qubi: Two good options. Let’s put them on the table. Qubi: We compare the cost, the control, and what your team needs. Client: Even if buying means less work for you? Qubi: Of course. A good answer should help you choose. Qubi: Let’s find the trade-off that fits.
Most vendor comparisons are written by whoever benefits from one particular answer. So are these — we build custom AI systems, which means the pages about building custom AI systems deserve your suspicion. The useful test is whether we argued the other side properly.
That is the standard we hold them to. Each one leads with the case against the option we sell: the build-vs-buy page opens by telling you to buy, the agency-vs-in-house page opens with the conditions under which hiring is clearly better, and the no-code page opens by recommending you start on Zapier and stay there if it works. A comparison that never concedes anything is not a comparison.
Where a decision genuinely depends on your circumstances, we say so and name the variable that actually decides it — which cloud you are already committed to, whether data may leave your perimeter, traffic volume, whether the work is continuous or bounded. A page that resolves every trade-off in the same direction is telling you about its author rather than about the decision.
Figures are indicative European ranges as of 2026, unsourced and labelled as such. The technology comparisons carry a review date, because the major model providers ship frequently enough that a table written six months ago will mislead you. If something here has aged badly, it is a bug — tell us.
Pick a decision and read its side first. Each side is the page’s own opening argument, with the variable it turns on.
Each side is drawn from its comparison page’s opening argument. Read the page for the whole case.
Build vs Buy AI opens by telling you to buy. It sets out when an off-the-shelf AI product is the right call, and when it structurally cannot be.
We build custom AI systems, so treat this side with the suspicion the page asks for. These are the variables the comparisons name as deciding it.
AI Agency vs In-House Team opens with the conditions under which hiring is clearly better, then sets out the real cost and time of hiring an AI team against engaging one.
The no-code page opens by recommending you start on Zapier and stay there if it works. It sets out where Zapier, Make and n8n stop being enough, and what replaces them.
Flip a card for the short answer. Each comparison page holds the long one, and the case against the option we sell.
When to retrieve, when to fine-tune, and why the answer is usually retrieval first.
When an off-the-shelf AI product is the right call and when it structurally cannot be.
The real cost and time comparison between hiring an AI team and engaging one.
Comparing the two on the axes that decide an enterprise deployment.
Where Zapier, Make and n8n stop being enough, and what replaces them.
The difference that matters: an agent takes actions and can be wrong in ways a chatbot cannot.
Where your models run, compared on cost, control, latency and the effort nobody budgets for.
The capability gap, the cost inversion and the licence terms that decide this more often than benchmarks do.
What you gain and give up choosing an open-weight model over a hosted frontier API, on the axes that decide it.
Retrieval against simply putting everything in the context window: cost, latency, accuracy and what decides it.
Where a licensed assistant is the right answer, where a purpose-built system is, and the questions that tell them apart.
Tell us the job you would hand over if you trusted a machine with it. In one 30-minute call we will tell you whether it should, what it would take — and if it should not, we will say so.
What we built, what stage it is at, and a link to the live thing wherever there is one.
yourOS is an operating system with an AI at its heart. You talk to it like a person, out loud or typed. It makes your calls, plans your days and works on your projects with a crew of agents, on your own private server. Our own product, built from the first commit; the waitlist is open.
Website, backend and app assets for Sonora, a free AI sound-therapy app on iOS and Android published by Cognitive AI.
Brand, website, prototype, apps on five platforms, the AI backend and the algorithm-intelligence pipeline for Podswap, a social growth engine that runs without a human in the loop.
In closed beta: Roxy, a private AI assistant with permanent memory running on infrastructure the user owns. Brand, site, product, backend and conversational design.
Live at coherence.com: brand identity generated with AI agents we directed, the motion system and website for the group behind Sonora, AboutAI, WakeUp and MudShadows. Agent work remains in build.
Live at domainbooth.com for DomainBooth, a premium domain brokerage: a new animated mark, every page redesigned and rebuilt with designed mobile layouts, and a custom CMS for its sales record, featured names, press and enquiries.
Apps, platforms and campaigns for these teams, long before the AI work. Every one is written up on the work page — what we did, and where our part ended.
