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Workflows Are Not AI Agents: Selling Lies
- The claim of Zapier having '800+ AI agents' is deemed absurd, implying the marketing of workflows as AI agents.
- Real AI agents are not mere parsers but sophisticated models capable of making decisions in real-time.
- An AI agent orchestrates decisions, handles errors, and adapts to unpredictable situations with dynamic decision-making.
- Traditional workflows lack the thinking and adaptability inherent in true AI agents.
- Language models like LLMs can be taught to return structured data like JSON, enabling dynamic decision-making.
- Teaching LLMs to output structured data in JSON format allows for more intelligent interactions and reasoning.
- The 'Read File' tool pattern exemplifies the interaction between developers, models, and structured data output by LLMs.
- True agency in AI models emerges when they can handle dynamic and unpredictable scenarios, not just follow predefined workflows.
- Contrasting workflows with agents, it's emphasized that workflows follow a predetermined structure, while agents exhibit adaptive reasoning.
- Selling '800 agents' is akin to marketing workflows, as a real agent would be a single model with adaptive tools rather than multiple individual agents.
- The recommendation is to accurately label workflows as workflows to avoid misleading marketing claims in the AI space.
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