A marketing team experimented with building AI agents to create a hybrid human-AI workforce over one quarter. They used n8n as their primary automation platform, structured the project with dedicated channels and weekly check-ins, and built various agents including an executive briefing agent, content workflow system, and LLM benchmarking tool. Key learnings included: not everything needs full autonomy (simple workflows often work better), tool integration is harder than expected, scoping down is critical for success, and understanding processes deeply before automating is essential. Some agents became valuable company-wide tools while others served mainly as learning exercises.
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How we structured the projectFirst time here? Discover what Prismic can do!What we actually builtWhat we learnedWhat happened with our agents after the project endedWhere we go from hereYou might also like...12 AI Code Generators Tested: Features, Pricing & Honest Reviews for 2025Why Claude Code Changed My Mind About AI DevelopmentSort: