Start with the work you need to share.
ML Clever is organized around the thing you need to create: a document, presentation, or chat answer.
Business context should end in something useful.
ML Clever turns prompts, source material, and data into polished documents and presentations. Chat helps you explore the subject; the visual editor helps you shape the finished work.
Built around the work you need to finish.
The workspace stays close to the artifact, the source context, and the decision the output needs to support.
Keep context close to generation.
Add files, notes, and research to give your documents and presentations useful context.
Move from draft to usable work.
Create visual documents and presentations you can edit, share, and return to in your library.
One workspace. Four creation modes.
Choose the output first, then give ML Clever the context that should shape it.
Context in. Useful work out.
Prompt, choose a mode, attach useful context, and let the generation workflow create a real artifact.
Prompt to document
Use themes, templates, page-range controls, and source context to create structured business writing.
Research to deck outline
Organize research, an outline, slide count, and theme choices before building the presentation.
Questions to a clear brief
Use chat to explore ideas, review source material, and clarify the audience and purpose of your next document or deck.
A little more about the workspace.
ML Clever is an AI workspace for creating visual documents and presentations, with chat for research, questions, and ideas.
Use chat to explore the subject, documents to explain it in depth, and slides to present the story. ML Clever keeps those workflows in one workspace.
ML Clever helps people turn research and business information into reports, client proposals, operating guides, and presentations they can edit and share.
You can work through a question in chat and create documents or slides in a visual editor. Choose a theme, adjust the layout, and edit the content to suit your audience.
Bring the context. Leave with the work.
Start with a prompt, a file, or a dataset. Turn it into the artifact the next conversation needs.