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Proactive agent template as base for vertical AI products

Use OpenDuet's open-source proactive-agent template to build vertical AI agent products that work in the background and check in with the user at key decision points, instead of pure chat. Target a specific workflow (recruiting pipeline follow-ups, customer support triage, deal/CRM monitoring) and ship a packaged agent with built-in human-in-the-loop checkpoints, sold as a niche micro-SaaS rather than another general chatbot.

Original post

What to build

A niche proactive-agent SaaS built on CopilotKit's OpenDuet template, targeting one narrow workflow (e.g. recruiting pipeline follow-ups, support ticket triage, or CRM deal monitoring) where the agent works in the background and only pings the operator at defined decision points instead of requiring constant chat input.

OpenDuet gives solo builders a working open-source scaffold for background-working, check-in-based AI agents instead of pure chat UIs — the opportunity is to aim that proactive-agent pattern at one narrow workflow and ship a paid micro-SaaS before vertical incumbents bolt on their own agent features.

Demand

Developers are actively exploring proactive-agent patterns right now (OpenDuet hit 1,348 GitHub stars shortly after release), and operators in recruiting, support, and sales who are buried in repetitive follow-up work want something that acts on its own rather than something they have to keep chatting with.

  • GitHub trending — CopilotKit/OpenDuetProduct launch

    CopilotKit/OpenDuet has 1,348 GitHub stars (TypeScript), described as an open source template for a proactive AI agent that gets your work done and keeps you in the loop — high engagement at the source shortly after release.

Stack

  • CopilotKit SDK
  • LangGraph
  • Next.js
  • Supabase
  • OpenAI API or Claude API
  • Vercel

Solo + AI difficulty

Forking and running the OpenDuet template is easy and fast (days), but the real work is designing the right human-in-the-loop checkpoints for your specific workflow and wiring reliable background job state/retries plus integrations into the vertical tool (ATS, helpdesk, CRM) you're targeting. Realistic time-to-MVP for one narrow workflow is 2-4 weeks for a solo builder with AI assistance.

Entry threshold
Low barrier since the template and underlying CopilotKit framework are free and open source, but solid full-stack and agent-orchestration skills are needed to turn the template into a polished, reliable vertical product worth paying for.
Window
3-6 months

Where to find first users

  • Product Hunt launch
  • CopilotKit's Discord/community (early adopters of the template congregate there)
  • Vertical subreddit matching the chosen workflow (e.g. r/recruiting, r/sales, r/CustomerSuccess)
  • Indie Hackers and cold LinkedIn outreach to small agencies in the target vertical

Competitors

Counter-signals & risks

  • As an open-source template, OpenDuet provides scaffolding rather than a differentiated product — competitors and the target customers themselves could use the same template, eroding any moat from simply adopting it.

  • Human-in-the-loop checkpoint design is non-trivial to tune per vertical: too many check-ins annoy users, too few erode trust, so UX execution risk may outweigh the template's head start.

  • Niche micro-SaaS agent products targeting narrow workflows (recruiting, support triage, CRM) face incumbent competition from existing vertical SaaS tools adding similar agent features natively.

Original title: CopilotKit/OpenDuet: An Open Source template for a proactive AI agent that gets your work done and keeps you in the loop.

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Proactive agent template as base for vertical AI products — Nichr