My shopping agent, developed on a decentralized AI platform, ranked first on the public leaderboard with a 92.74% success rate, generating approximately $200,000 in revenue. Its success came from a structured workflow covering request understanding, search, filtering, validation, comparison, and recommendations. We combined explicit processes for predictable tasks with LLM reasoning for ambiguous requests, demonstrating that thoughtful workflow design and rigorous validation are essential to building reliable AI agents.
Top comments (0)