Instead of dropping users into an empty workspace or walking them through dropdowns and presets, we built an agentic onboarding system to auto-generate a fully configured workspace.
Users enter a few high-level inputs → the system researches your company, product, and customers → and outputs a pre-filled workspace (team structure, context, user profile, projects) ready for review and edit.
Under the hood: - Multi-LLM architecture (OpenAI + others) - Retrieval + synthesis using Perplexity API - Structured output feeds dynamic config/content generation
It's a human-in-the-loop experience, but AI does the heavy lifting upfront. Designed to reduce setup friction and drive faster activation in high-effort user onboarding use cases.
Check it out: https://get.traction.team/v/early-access