AI agent workflows designed to save you time when developing products - across research, development, testing, marketing, and sales.
30 Agents in 30 Days is a challenge to create and share 30 practical AI agent workflows that help product builders save time and improve their process. Each day, a new agent workflow is released to help with different aspects of the product development lifecycle.
Each agent workflow is contained in its own folder with complete documentation, code, and instructions for implementation.
/
├── news/
├── 02-human-alignment/
├── 03-agent-name/
└── ...
An AI agent that tracks breaking news and comes up with and rates the quality of in-the-moment startup ideas.
Every day for 30 days, I'm releasing a new AI agent workflow to help you build better products faster. The agents are organized into four main categories:
Agents that help you gather insights and analyze data, including:
- Market research automation
- Competitive analysis
- User feedback processing
- Trend identification
Agents that accelerate your coding and development workflow, such as:
- Code generation and refactoring
- Architecture planning
- Documentation creation
- Feature prioritization
Agents that help you test your products thoroughly, including:
- Automated QA workflows
- User journey simulation
- Performance testing
- Security assessment
Agents that help you promote and sell your products, such as:
- Content generation
- Ad copy optimization
- Lead qualification
- Sales outreach automation
- Browse: Explore the different agent workflows organized by category
- Implement: Follow the instructions in each agent's README to set up the workflow
- Customize: Adapt the agents to your specific product needs
- Contribute: Share your improvements or ideas by opening issues or PRs
- Follow @leeps.bsky.social on Bluesky for daily updates
- Visit agents.mechifact.com for interactive demos