Build a Customer Support Chatbot with Dify
Guide for using Dify as the core of a support chatbot product and wrapping it in a focused frontend.
Secondary AI Coding Resources
Use Cursor Rules and MCP Setups as supporting implementation resources while you work through this tech stack or playbook.
Related Ideas
AI Customer Support Chatbot Idea
Build a small support chatbot product for docs, FAQs, onboarding, and lead capture.
AI Resume Builder Idea
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AI Cover Letter Generator Idea
Build a simple generator for personalized cover letters based on role, company, and user background.
Related Open Source References
Related Cursor Rules
Overview
A step-by-step workflow you can follow inside Cursor to ship a real feature with minimal thrash.
Tech stack
- Next.js
- TypeScript
- Your data layer (Supabase/Postgres/etc)
Project structure
- src/app
- src/components
- src/lib
- content/workflows
Step-by-step workflow
- Define acceptance criteria
- Ask Cursor to propose a minimal plan
- Implement in small patches
- Run lint/build
- Deploy and verify
Cursor prompts
Read the relevant files and propose a minimal plan. Do not change unrelated files.
Then implement the plan with small diffs and list verification steps.
Deployment checklist
- Environment variables set
- Build passes locally
- Basic smoke test in preview
Common issues
- Missing env vars
- Mixed server/client boundaries
Related tools
- Cursor
- Claude Code
FAQ
Should I follow every step exactly?
Use the guide as a shipping checklist, but cut steps that do not match your stack or MVP scope.
When should I add tests?
Add focused tests around risky logic, data transforms, auth, billing, or anything likely to regress.
What should I do if the guide feels too broad?
Break it into one acceptance criterion at a time and ask your AI editor to implement in small reviewable diffs.