WorkLLM

WorkLLM puts 200-plus AI models — GPT, Claude, Gemini, Llama, Mistral, and the rest — behind a single interface with team collaboration and org-wide memory built in. You send the same prompt to four models at once, share the thread with a teammate, and stop paying for four separate ChatGPT and Claude seats to do what is basically the same job.

What WorkLLM actually does

The pitch is that most companies have quietly ended up subscribing to three or four AI tools and duplicating context in each of them; WorkLLM is trying to become the shared surface where that work happens instead.

• Run GPT, Claude, Gemini, Llama, Mistral, and 200+ others from a single interface — no separate subscriptions required

• Select up to four models and send the same prompt to all of them, so you can compare answers and pick the best one before acting

• Filter models by task type, cost, or strength so you're matching the right model to the actual job

• Co-prompt with teammates in shared AI threads so everyone works from the same context

• Comment and tag teammates on any AI response to loop in the right people without leaving the thread

• Store company knowledge, past work, and key context in org-wide memory that the AI already knows before anyone types a word

• Add project and folder memory to keep AI grounded in the right context per workflow

• Launch purpose-built AI agents for sales, marketing, HR, and more — ready to use from day one, no prompting required

The features that matter

Multi-model prompting is the piece worth paying for. Select up to four models, send them the same prompt, and compare the answers side by side before deciding whose output to act on. Underneath that, models are filterable by task type, cost, or strength, so you're actually matching the model to the job rather than defaulting to whichever one you know best.

Shared threads and org-wide memory are the collaboration layer. Teammates co-prompt in the same conversation, comment on any AI response, and tag other people in without leaving the thread — no more relaying results by Slack copy-paste. Company knowledge, past work, and key context live in org-wide memory so the AI already knows your products and processes, and you can layer project or folder memory on top for context specific to a workflow. Tier 2 and above unlock the pre-built agents for sales, marketing, and HR that ship configured rather than needing to be prompted into existence.

Who it's built for

The right buyer is a team of 3–20 people who've quietly ended up on four different AI subscriptions and want to consolidate before renewal season. The multi-model prompting is where the pitch lands hardest: if your team already flips between ChatGPT for one job and Claude for another, doing it in one thread that a teammate can jump into is a real workflow upgrade.

It's less compelling for a solo user who's happy paying $20 a month for their favorite model, or for enterprises with strict data-handling requirements that need dedicated tenancy and audit tooling beyond what a lifetime deal typically provides.

Lifetime access starts at $79 for Tier 1, which is normally $240. Higher tiers add seats, message credits, and the pre-built agents for sales, marketing, and HR. If you want to feel the collaboration and multi-model workflow before committing your team, the entry tier is the right place to run that pilot.