A curated starting point for anyone exploring agenticpreneurship. This list will grow.
Foundational Reading
- Attention Is All You Need — the 2017 paper that introduced the transformer architecture underlying modern LLMs. Essential context for understanding what today's agents are built on.
- ReAct: Synergizing Reasoning and Acting in Language Models — the research that formalized the reasoning-and-acting loop at the heart of most agentic systems.
- The Pragmatic Engineer on AI Agents — practical, grounded writing on what agentic systems look like in production.
Frameworks & Tools
- LangChain / LangGraph — widely used frameworks for building and orchestrating LLM-powered agents.
- AutoGen (Microsoft) — a framework for building multi-agent systems where agents collaborate to complete tasks.
- CrewAI — focused on role-based multi-agent workflows; well suited to business process automation.
- Claude API (Anthropic) — one of the most capable foundations for building reliable, instruction-following agents.
- OpenAI Assistants API — tool-use and memory capabilities built directly into the API layer.
Communities
- Latent Space — a podcast and community at the intersection of AI engineering and product.
- r/LLMDevs — practical discussion among developers building with language models.
- AI Tinkerers — local and online meetups for people building with AI.
Stay Updated
The field moves fast. The best signal tends to come from practitioners sharing what they're building, not from news coverage.
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