AI Workflow OS: Notion + Obsidian Templates for LLM Devs

**Stop wasting hours rebuilding AI docs and workflows from scratch every time you start a new project.**

If you’re developing AI models or features, you know how much time goes into recreating documentation, mapping workflows, and tracking evaluations. You lose hours setting up each new experiment, and inconsistent notes cause confusion on your team. This slows progress and increases errors during deployment and testing.

AI Workflow OS is a set of Notion and Obsidian templates designed specifically for LLM developers. It cuts 4–6 hours off your setup time by providing standardized, ready-to-use documentation, workflow maps, and evaluation logs. Unlike generic templates, these are tailored for AI workflows and include validated checklists to reduce errors and improve reproducibility.

**What’s Included:**
- **Notion: AI Feature Tracker** — Organize and prioritize your AI experiments with status and impact fields
- **Notion: Deployment Checklist** — Step-by-step guide to validate model release, reducing human error
- **Notion: Evaluation Log** — Structured template to capture metrics, test results, and observations
- **Obsidian: Workflow Map** — Visual graph and markdown files to outline your AI pipeline clearly
- **Obsidian: Documentation Hub** — Standardized markdown templates for features, APIs, and troubleshooting notes

**Who This Is For:**
- AI developers building or fine-tuning LLMs who want to save setup time
- Team leads who need consistent documentation to reduce knowledge gaps
- Researchers running multiple AI experiments requiring reproducible and traceable workflows

**Who This Is NOT For:**
- Casual hobbyists building one-off AI projects with no plans to scale or share
- Developers not using Notion or Obsidian as part of their workflow

**Guarantee:**
If this doesn’t save you at least 4 hours on your next AI feature or experiment setup, I’ll give you a full refund—no questions asked.

What's Included (12 files)

• rag-evaluation-playbook.md
• mcp-server-registry-database.json
• prompt-versioning-log.md
• fine-tuning-dataset-prep-template.csv
• model-deployment-runbook-aws-lambda.md
• llm-agent-architecture-blueprint.md
• security-and-privacy-audit-ai-workflows.md
• latency-benchmarking-template.md
• vectorstore-config-checklist.md
• notion-llm-workflow-master-dashboard.json
• obsidian-embedding-pipeline-notes.md
• ai-feature-tech-spec-template.md