Protaimé

Project-aware AI workbench

Bring your own AI keys. Keep the work organized.

A workspace for serious AI work.

Protaimé helps you work across projects, files, memory, instructions, and task history without scattering context across disconnected AI chats. Its multi-model workflow is built to produce a more polished final response by letting models draft, challenge, verify, and synthesize before the answer reaches you.

Project Context

Organize tasks, files, extracted text, repository maps, memory, and instructions by project.

Multi-Model Review

Use model roles to draft, critique, verify, and synthesize stronger final answers without exposing a cluttered debate UI.

Audit and Sources

Keep final answers clean while sources, model steps, usage, and review records stay available on demand.

Start Working

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Inside Protaimé

Built for project-scale AI work.

Protaimé is built for using AI as a working tool: run reviewed model workflows, manage project files, inspect extracted text, and open the audit trail when the answer matters. Files, context, review, and audit in one workspace.

Project-aware work, reviewed before the final answer.

Selected files, multi-model stages, final response, and an inspectable Audit trail in under a minute.

Multi-Model Workflow

Draft, review, verification, and final response stages are visible while a task runs.

Protaimé science response with rendered mathematical equations

Technical Responses

Science and engineering answers can include structured reasoning, code blocks, and rendered math.

Project Files

Keep source, documents, PDFs, images, ZIP imports, memory, and instructions organized by project.

Protaimé file editor showing source or extracted text available for AI context

Inspectable Text

Review extracted source, PDF, and OCR text before relying on an AI answer.

Protaimé audit view showing model review output, tokens, cost, and response details

Audit Trail

Inspect model steps, review output, sources, usage, and context details when needed.

Explore the Workflow

See how Protaimé supports serious AI work.

Protaimé brings project files, extracted text, model review, sources, audit history, and provider control into one workspace built for work that needs more than a single chat thread.

Multi-Model Review

How Protaimé uses model roles to draft, challenge, verify, and synthesize one final response.

Project Context

Keep files, instructions, memory, tasks, and extracted text organized by project.

PDF and OCR Text

Inspect extracted document and image text before using it as AI context.

Audit and Sources

Keep the answer clean while preserving the review path, model steps, context, and usage details.

Bring Your Own Keys

Connect your own OpenAI, Gemini, or xAI provider keys instead of buying bundled model usage.

Guides and Examples

Learn how project-aware AI work is different.

These public guides explain the ideas behind Protaimé: model roles, project-aware context, inspectable document text, audit trails, and using different AI models where they are strongest.

What is multi-model AI review?

Learn how main, reviewer, verifier, and final-answer roles can turn multiple model strengths into one reviewed response.

Example: reviewer and verifier review

See a public example where one model drafts, another challenges, another verifies, and the final answer resolves the review.

Example: PDF and OCR text

See why extracted text, OCR, Enhance with AI, and AI Vision matter before a model relies on project documents.

Protaimé vs ChatGPT

Compare direct assistant work with a project-aware workflow that can use OpenAI models alongside other providers.

All guides and comparisons

Browse the full guide set, including BYOK, project context, audit trails, Gemini, Grok, and ordinary single-model chat comparisons.