A practical collection of plug-and-play starter blueprints for building autonomous AI apps with real APIs. Discover ready-to-build agent workflows, API stacks, architecture patterns, prompts, and monetization ideas for research agents, lead gen systems, SEO automations, MCP toolchains, and more.

Codex-first control plane for supervising autonomous work

Agent-Creator is a framework for building and experimenting with multi-agent systems powered by Microsoft’s AutoGen. The project demonstrates how autonomous AI agents can collaborate, communicate, and solve tasks in a simulated environment. The main file world.py acts as the orchestrator, defining agent behaviors, interactions, and workflows.

Sanitized case study of a runaway autonomous LLM workflow incident, its failure modes, and the guardrails added afterward

Investigate agentic AI prompt design, sub-agent coordination, and tool safety patterns for coding assistants