Pick the right model for the job. Switch in one click.
Run GPT-5, Claude, Gemini, DeepSeek, Kimi, and Qwen from one TeamAI workspace. One login, one credit pool, 30+ models, so your team picks the right tool for each task instead of juggling subscriptions and copying prompts between tabs.
30+ models across six providers, in one catalog.
The full catalog is available at signup.
One model is a tax on quality, speed, and cost.
Every provider builds for different strengths. Some models are tuned for speed and cost, some for complex reasoning, some for coding, some for multimodal work.
In a typical week your team drafts copy, analyzes spreadsheets, summarizes calls, and triages email. No single model is the best fit for all of it.
Pick once. Use everywhere.
No more juggling subscriptions, no more re-creating prompts when you switch tools, no more “wait, which tab has the right model open.” One workspace, every model in the catalog, a clean way to match the tool.
All providers, one workspace
Anthropic, OpenAI, Google, DeepSeek, Moonshot, Alibaba. One credit pool covers every model instead of separate subscriptions, and one set of folder permissions governs who sees what. New models are added to the catalog as providers release them.
Switch without starting over
The model picker is one click away in any conversation. Switch models mid-thread and the context carries, so you can re-ask the same question on a second model and compare the answers, or fork the conversation and explore both.
A model per agent, per step
Every Custom Agent runs the model you pick for its job. Automated Workflows go further: each step can use a different model. Claude for the analysis, GPT for the draft, Gemini for the fact-check, all in one pipeline with no manual handoffs.
Four tiers. Pick by what the task needs.
Model names change every release cycle. Categories don’t. TeamAI organizes the catalog into four house tiers, so you choose by the kind of work in front of you instead of tracking the leaderboard.
High volume, quick answers
Drafting, quick Q&A, brainstorming, and batch work where latency and cost matter more than depth of reasoning.
Analysis and judgment
Synthesizing documents, judgment calls, multi-step instructions, and long-context work that needs solid reasoning.
Hard, multi-step problems
Problems where the model needs to plan, work through alternatives, and show its work. Slower, more rigorous.
Code-specialist work
Code generation and debugging. The data analysis plugin keys off the same tiers when it builds charts in Code mode.
Set it once where it matters. Switch when it doesn’t fit.
You don’t pick a model every time you ask a question. The choice lives where the work lives.
Set a model per agent
Each Custom Agent is configured with the model that fits its job. A drafting agent can run a fast model while your analysis agent runs a reasoning one. Swap it any time without rebuilding the agent.
Override per workflow step
In Automated Workflows, each step can use a different model and the platform handles the handoff between them. Chain the strengths instead of compromising on one.
Switch on the fly in chat
Trying a new model on an active conversation doesn’t mean starting over. The context carries into the switch, mid-thread.
Failover is automatic
If your selected model’s provider has an outage, requests reroute to an alternative model automatically. Your team keeps working.
One workspace covers the whole content week.
A marketing week mixes volume work, brand-voice work, and judgment work. Those are different jobs, and they want different models.
Match the model to the marketing task
- A fast model for subject lines, ad variants, and alt text at volume
- A long-context model for brand-voice drafts that follow your guidelines end to end
- A reasoning model for campaign analysis and budget judgment calls
- A code-tier model behind the charts when you drop in last month’s exports
And when a draft needs a different brain, switch mid-thread. The prompt and the context come with you.
The rest of the company, same workspace
Sales research, ops documentation, internal comms: every team picks from the same catalog inside the same shared folders and permissions. Nobody negotiates which platform “the team” is standardizing on, and nobody maintains a separate account for every model.
Single-provider lock-in is operational risk.
When one provider has a 9 AM outage, single-provider teams are blocked until it’s resolved. In TeamAI, automatic failover reroutes affected requests to an alternative model from another provider. It’s built in.
This is the same model catalog Growth Loops runs on. WebFX’s 750+ digital experts operate production agents on this platform, picking from the same picker you get at signup. If you’d rather have the marketing agents pre-built and a named Revenue Marketing Specialist signing off on what ships, that’s Growth Loops.
Start with the model picker open.
Tell us the work your marketing team repeats every week. We’ll tell you whether to run it yourself in TeamAI or have Growth Loops run it for you.
Ready to put 30+ years of validated marketing intelligence to work?
A strategy call to confirm whether Starter, Growth, or Scale fits. If Growth Loops is not the right fit, we will say so and point you to the WebFX Platform.