Free during beta 50% off for life

Document AI Projects
That Move Fast

Projan helps AI builders turn experimental discussions into structured technical documentation. Automatically.

AI-native workflows
MLOps ready
Jupyter export
projan.ai/docs/rag-pipeline
ML
"Testing GPT-4 vs Claude for our RAG pipeline. Need to track chunking strategies and eval metrics."
P
Generating PRD...
Model comparison table
Chunking strategy doc
Evaluation framework
Generated PRD RAG Pipeline Architecture 2 experiments, 4 model comparisons, 12 metrics tracked

The Challenge

AI projects evolve daily.
Docs can't keep up.

Experiments move fast, but documentation stays stuck in the past.

Experiments Undocumented

Model tests and results forgotten in notebooks

Scattered Prompts

Prompt engineering spread across tools and chats

Lost Decisions

Architecture choices made in Slack, lost forever

Context Gaps

Collaborators need context you don't have time to write

The Solution

Projan Tracks Your
AI Development Process

Research and documentation stay in sync. Automatically.

As you experiment with:

Model selection and benchmarks
Prompt engineering strategies
RAG architecture patterns
Evaluation and metrics

Projan documents:

Experiment logs with results
Technical architecture specs
Model comparison tables
Evaluation frameworks

Benefits

Why AI Builders Use It

Better Experiments

Track what worked and why

Compare model performance clearly

Faster Iteration

Reference past decisions instantly

Avoid repeating failed approaches

Team Alignment

Share progress without writing reports

Onboard collaborators with full context

Features

Built for AI Development

Experiment tracking built-in

Model comparison templates

Technical architecture diagrams

Export to Markdown or Jupyter

Limited beta spots

Early access for AI practitioners

Join the AI builders who are already documenting their experiments and shipping better models with structured workflows.

Free for research use
Direct feedback to builders
Shape AI-specific features