What people actually do with ClawAI

Ten jobs that come up every day, and the model — or combination of models — that handles each one best. All on one subscription.

Last reviewed 2026-07-25

Ten jobs, ten routings

Each of these leans on a different strength. That is the whole argument for having every model available instead of picking one and living with it.

Software development

The problem: The model that writes the best code is rarely the one that explains a design trade-off best, and neither is the one you want reviewing a two-thousand-line diff.
What ClawAI does: Coding questions route to the models with the strongest code track record and architecture questions to the strongest reasoning models. Attach a file and ask several models to review it at once, then have a Judge pass score the reviews.

Leans onAuto routing + Compare

Research and analysis

The problem: Answers without sources are unusable, and one model’s summary of a topic is one model’s opinion of it.
What ClawAI does: Research mode searches the web, fetches the pages and answers with the evidence attached. Consensus runs the same question across several models and shows where they agree and where they do not.

Leans onResearch + Consensus

Writing and editing

The problem: Draft quality varies enormously by model, and the differences only become obvious when you read them side by side.
What ClawAI does: Generate drafts from several models on the same brief, keep the one that lands, then use Repair to fix specific paragraphs instead of regenerating everything.

Leans onCompare + Repair

Data analysis

The problem: Spreadsheets and exports are too big for a chat box, and a model that invents a number is worse than no answer at all.
What ClawAI does: Upload the file and ask questions about it — only the relevant parts are retrieved into the prompt. Verify has a second model check the figures before you see them.

Leans onFile retrieval + Verify

Customer support

The problem: Support answers have to be consistent, correct and in your voice, and the volume makes frontier models too expensive to use for everything.
What ClawAI does: Context packs hold your product facts and tone rules. Everyday replies go to a fast, cheap model, and anything unusual escalates automatically to a stronger one.

Leans onContext packs + Escalation

Product and strategy

The problem: Strategy work rewards disagreement, and a single model tends to agree with whatever framing you handed it.
What ClawAI does: Put the same question to several models chosen deliberately to think differently, then have a Critic pass argue against the conclusion you liked best.

Leans onCompare + Critic

Learning and study

The problem: A patient explanation and a rigorous derivation are different skills, and asking one model for both gets you a mediocre version of each.
What ClawAI does: Explanations route to models that teach well and derivations to reasoning models. Memory keeps track of what you already know, so it stops re-explaining it.

Leans onAuto routing + Memory

Translation and localisation

The problem: Machine translation is fluent and frequently wrong about tone, register and anything domain-specific.
What ClawAI does: Translate with a model strong in the target language, then have a second model review the result against the source. Context packs carry your glossary and style rules into every request.

Leans onCompare + Context packs

Reports and documents

The problem: The answer is in a chat window and the deliverable is a file someone else has to open.
What ClawAI does: Export any answer, or a whole conversation, as PDF, DOCX, CSV, HTML, Markdown, TXT or JSON — formatted and ready to send.

Leans onDocument export

Images

The problem: Switching to a separate image tool means another subscription, another login, and losing the context of what you were working on.
What ClawAI does: Describe the image in the conversation you are already in. It is generated in place and stays with the thread, alongside the prompt that produced it.

Leans onImage generation

Why one subscription beats several

Running four AI subscriptions is not four times better than one. It is four bills, four sets of limits, and a constant low-grade decision about which tab to open.

The right model, every time: No model is best at everything. With all of them available, the answer to “which one should I use” stops being “whichever one I already pay for”.
One allowance: Usage is counted in cost-normalized tokens, so a single number is fair across models that differ wildly in price. No stranded credit on a plan you stopped opening.
No lock-in: When a new frontier model ships it appears in your model list. You are not stuck with last year’s choice because it is the one you subscribed to.
Visible spend: One usage page shows where the allowance went, by model and by day, instead of four dashboards that each count something different.

And when you genuinely need several models on the same problem, they are already in the same place — which is what makes Compare, Consensus and Judge possible at all.

Working with data that cannot leave your network?

Organisations that cannot send data to an external model provider can run ClawAI on their own infrastructure with open-weight models only. Scoped per engagement.

Pick a job and try it

The free plan is enough to test whether routing beats picking a model yourself. It takes a minute to set up.

Create your account See the plans