A project-aware AI workbench, not another loose chat thread.
Protaimé brings files, extracted text, project context, model roles, sources, audit history, and bring-your-own-key provider control into one workspace for serious AI work.
Built around the workflow serious AI work requires.
Each feature page goes deeper into one part of the product. This overview shows how the pieces fit together: context, review, extraction, sources, auditability, and provider control.
From project files to reviewed answers.
Protaimé is organized around a practical loop: collect project material, inspect the context layer, run a task, and open the supporting trail when needed.
Organize project material
Add files, PDFs, images, source bundles, memory, instructions, and other supporting material to a project workspace.
Inspect usable context
Review extracted source, PDF, OCR, and AI Vision text so you know what the AI can actually use.
Run direct or reviewed tasks
Use direct model responses when speed matters or reviewed workflows when the answer needs a second pass.
Open the trail when needed
Inspect sources, attached context, model steps, usage details, and audit history without cluttering every final answer.
Useful wherever context matters.
Protaimé is meant for work that depends on documents, files, technical detail, project history, model choice, or reviewability.
Code and technical projects
Work with source files, architecture notes, implementation plans, examples, and technical documentation.
Document-heavy work
Analyze PDFs, OCR-backed images, extracted text, research material, specifications, and project packets.
Writing and decisions
Use project context and model review to improve plans, recommendations, drafts, summaries, and strategic decisions.
Bring files, context, and your own AI providers into one workspace.
Create an account, connect provider keys, create a project, and run your first project-backed task. Protaimé does not resell model usage.