A small team rarely stays on one AI model for long. Someone pays for a second subscription, someone pastes company text into a free account, and within a quarter nobody can say what the business is running or what it costs. Using more than one model is workable, and often worth it. What makes it workable is a handful of written rules.
why a second model at all
A model that didn't write a draft reads it the way a stranger does. The most useful job for a second model is checking the first one's work: a contract summary re-checked against the contract, a calculation redone from the source numbers, an important email read once more before it goes out.
Models also have different strengths. One writes better, another handles spreadsheets or code better, a third is cheaper for bulk work. A team that has named which jobs go to which model gets those strengths without the confusion.
And when one provider has an outage or changes its terms, the work moves to the other model for a day instead of stopping.
one model leads, the rest take tasks
The setup that holds up is a lead assistant with helpers. The lead holds the context: the conversation, the files, the history of the work. We set up Claude as the lead. A second model never sees the whole picture; it gets one task, returns one result, and the lead folds that result back into the work.
Accountability stays simple this way. One person owns the output, one assistant carries the thread, and every other model is a tool that was called, with the call and the result visible in the lead's conversation. When something is wrong in the final document, there is one place to look.
what usually breaks
- The whole team shares one login, so nobody can end one person's access without locking out everyone.
- A metered API key runs with no spending cap, and the first sign of a runaway job is the invoice.
- Company work runs on someone's personal account. When they leave, the history and the subscription leave with them.
- Nobody can say which model produced a document, so nothing can be traced when a number turns out wrong.
- Text that should never leave the company gets pasted into a free account nobody controls.
the rules that make it boring
- One account per person, on company logins, paid by the company. Access ends on the last day, like every other system.
- A flat subscription for the lead, metered keys for the helpers, and a written spending cap per key, decided before the first call.
- Keys named in one place. The list of which key exists and what it is for lives in one document; the values live in the tools, never in shared docs or chat.
- Jobs assigned in writing. Which model drafts, which checks, which handles bulk work. And a short list of what no model is used for.
None of this is heavy. It fits on one page, and it is the same discipline as knowing who can log into what. The service behind it is AI adoption and automation.
common questions
Does a small team need more than one AI model?
Not to start. One assistant, properly set up, covers most of the work. A second model earns its place when there is a job the first does poorly, or when checking matters enough to pay for a second opinion. Add it for a named job, never just in case.
Which model should be the lead?
The one that holds context well and that your team will open every day. We work with Claude and set it up as the lead. The helpers can come from any provider, because each one only ever sees a single task.
What does this cost to run?
A subscription per person for the lead assistant, and metered usage for anything called by the task. The metered part is the one that surprises people, which is why the cap on each key is decided in writing before the first call is made.
Can you set this up for us?
Yes. It starts with a stack review: we list what your team already uses, which accounts and keys exist, what they cost, and where the gaps are, then hand you written findings and a prioritized list. Fixed fee, one week, from $1,500, yours either way.
the first step
one lead, named jobs, caps in writing.
A stack review lists your accounts, your keys, your costs, and your gaps in one week. Fixed fee, from $1,500. The findings document is yours whether or not we work together.
book a stack review