Check out the most important AI agents players: From consumer to dev tools.

ONE - Consumer Agents These days, agents are built-in to the latest LLMs. They're perfect for quick tasks, research, content creation. Prominent examples: OpenAI's ChatGPT Agent, Anthropic's Claude Agent, xAI's Grok Agent (free w X), Perplexity's Comet Browser

TWO - No-Code Agent Builders These are the evolution of no-code tools - AI-powered app builders that let you chain together workflows. Prominent examples: Zapier, Lindy, Make, n8n All 4 compete in a similar space with different benefits.

THREE - Developer-First Platforms These are the components that engineering teams use to create production-grade agents. Prominent examples: LangChain's orchestration framework, Haystack's NLP pipeline builder, CrewAI's multi-agent system, Vercel's AI SDK toolkit

FOUR - Specialized Agent Apps These are the purpose-built application agents. They are engineered to do one thing well. Prominent examples: Lovable for prototyping, Perplexity for research, Cursor for coding

Which Should You Use? Need something quick? → Consumer Agents Want to automate workflows? → No-Code Builders Building a product feature? → Developer-First Have a specific job? → Specialized App I go much deeper here:

Read this far? You're serious about AI success. 🤝 Hope this helped, Aakash 💜 P.S. What tools would you add?