Multi-model AI workspace

Live

Converso

Every leading model in one conversation — without tab-switching or lost context.

Converso product screenshot

What it is

Converso for buyers looking at multi-model ai workspace.

Most people already use more than one model. A drafting pass might belong in GPT, a careful rewrite in Claude, a multimodal check in Gemini. The usual workaround is a stack of browser tabs, copied prompts, and a history that never quite lines up. Converso is a multi-model AI chat workspace built so those models live in one place: same thread, same files, same searchable archive.

You sign in once and keep the work together. Attach a document, ask a question, switch the model for the next turn, and export the useful parts when the conversation is finished. Markdown and code stay readable in the thread instead of collapsing into a paste bin. When you need an older answer, you search the workspace rather than reconstructing the chat from memory.

Converso is live today at converso.cleverai.ai. If your organization needs the same workspace with private data, access controls, or a deployment shaped around existing tools, that is a custom engagement — not a hidden toggle in the public product.

Capabilities

What Converso is built to do.

  • One workspace for leading models

    Talk to GPT, Claude, Gemini, and other supported models from a single account. You are not maintaining a separate login and prompt history for every provider.

  • Switch models without starting over

    Change the model on the next turn and keep the conversation context with you. Compare answers in one thread instead of pasting the same prompt into three products.

  • Files stay attached to the work

    Bring documents into the chat so the discussion is grounded in the material you actually need to reason about, not a summary you typed from memory.

  • Markdown, code, and readable replies

    Responses render as markdown and code you can reuse. The workspace is built for writing, reviewing, and iterating — not for disposable one-line answers.

  • Exports you can take with you

    When a conversation produces something worth keeping, export it. Finished work should leave the chat window instead of being locked inside a vendor thread.

  • Searchable conversation history

    Saved chats stay on your account and can be searched later. Return to a project without remembering the exact title of the thread.

Who it is for

Three situations Converso is meant to change.

  1. 01 · Product manager comparing model quality

    The problem

    You need to know whether a given prompt is better served by GPT, Claude, or Gemini before you commit a workflow to one provider. Copying the same brief into three websites produces three histories and no clean side-by-side.

    How Converso helps

    Run the brief in Converso, switch models inside the same conversation, and keep the comparison in one searchable thread. The decision is attached to the actual replies, not to a slide you assembled after the fact.

  2. 02 · Analyst working from source files

    The problem

    The useful context is in a PDF, a spreadsheet extract, or a notes dump. Generic chat products make you restate that material in the prompt, which is slow and easy to get wrong.

    How Converso helps

    Attach the file, ask the question, and keep follow-ups in the same history. The thread remains the working record of how the answer was produced.

  3. 03 · Founder who wants one AI home base

    The problem

    Strategy notes, draft emails, and technical questions currently live across ChatGPT, Claude, and a notes app. Nothing is searchable as a single body of work.

    How Converso helps

    Use Converso as the place those conversations accumulate. Export the pieces that belong in a doc; leave the rest in a history you can search when the same question comes back.

Questions

What people ask before they try Converso.

Have another question? Email hello@cleverai.ai

Yes. Converso is built so you can change models while keeping the thread together. Ask GPT, continue with Claude, and the context stays in one searchable conversation rather than three separate products.

Use it today

Open Converso, or talk to us about a deployment that fits your stack.