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Every resource founders actually use, in one library.

The essays, videos, podcasts, books and tools behind every answer across eChai's hubs, from starting up to go-to-market, D2C, founder money and AI, each with a note on why it is here.

What founders use most, ranked by how many answers lean on it.

  1. The famous open-sourced prompt playbook powering support for Perplexity and Replit, a masterclass in agent prompting. parahelp.com Article · How Founders Use AI AI prompt design at Parahelp Parahelp (YC)
  2. Answers the setup gotchas founders hit in week one, from content import times to channel coverage. intercom.com Guide · How Founders Use AI Fin AI Agent FAQs Intercom
  3. 50 real workflows, several of them exactly this: dump support transcripts in, get validated product hypotheses out. lennysnewsletter.com Article · How Founders Use AI Everyone should be using Claude Code more Lenny Rachitsky
  4. A hands-on course from a user-research veteran on turning raw feedback corpora into decisions with Claude Code. maven.com Course · How Founders Use AI Claude Code for Customer Insights Caitlin Sullivan
  5. Notion cut its monthly user-insights report from 2 weeks to 3 days by unifying tickets with every other signal. enterpret.com Article · How Founders Use AI How Notion supercharges its product feedback loop using Enterpret Enterpret
  6. The founder story behind feedback intelligence and why Canva, Figma and Notion all bought it. notoriousplg.ai Article · How Founders Use AI Notorious: How Enterpret Disrupted the Customer Intelligence Space Zachary DeWitt (NotoriousPLG)
  7. A concrete recipe for pattern-mining feedback with Claude, straight from the model maker. claude.com Guide · How Founders Use AI Analyze patterns in user feedback Anthropic
  8. An Indian fintech at scale showing how LLM ticket categorization went from 60% to 85% accuracy and feeds product fixes. engineering.razorpay.com Article · How Founders Use AI Enhancing Customer Support through AI-powered ticket issue categorization Razorpay Engineering (Swati Agarwal)
  9. Practical CS-side workflows for mining tickets, NPS and usage data, written for operators not engineers. gtmaipodcast.com Article · How Founders Use AI Claude Code for Customer Success J Moss (GTM AI Podcast)
  10. Includes Gumloop's real workflow that root-causes support complaints and links back to the raw conversations. lennysnewsletter.com Article · How Founders Use AI Make product management fun again with AI agents Tal Raviv (Lenny's Newsletter)
  11. A CFO's-eye view of why $0.99 per resolution worked, and what that means for you as the buyer. mostlymetrics.com Article · How Founders Use AI How Intercom Reaccelerated Growth With Outcome-Based Pricing CJ Gustafson (Mostly Metrics)
  12. Intercom's own definitions of the four billable outcome types, the fine print your invoice depends on. intercom.com Guide · How Founders Use AI Fin AI Agent outcomes Intercom
  13. A worked cost example at startup ticket volumes, useful for a quick back-of-envelope. featurebase.app Article · How Founders Use AI How Much Does Intercom's Fin AI Cost? Featurebase
  14. The landmark ruling every founder should know: you are legally liable for what your bot invents. forbes.com Article · How Founders Use AI What Air Canada Lost In 'Remarkable' Lying AI Chatbot Case Forbes (Marisa Garcia)
  15. Runnable input/output guardrail patterns, including the accuracy-latency-cost tradeoffs. developers.openai.com Guide · How Founders Use AI How to implement LLM guardrails OpenAI Cookbook
  16. A concrete notebook for building a hallucination checker in front of customer-facing answers. developers.openai.com Guide · How Founders Use AI Developing Hallucination Guardrails OpenAI Cookbook
  17. The most-cited engineering guide on keeping agents simple, bounded, and predictable. anthropic.com Guide · How Founders Use AI Building Effective AI Agents Anthropic
  18. How to trace exactly why your agent said what it said, the daily practice behind trust. intercom.com Guide · How Founders Use AI Debug Fin AI Agent answers Intercom
  19. Defines a real resolution (accurate, complete, no follow-up) so you don't ship a bot that fakes its own metrics. zendesk.com Guide · How Founders Use AI What is AI resolution rate and how to measure it Zendesk
  20. Realistic benchmark ranges by deployment maturity, an antidote to vendor headline numbers. notch.cx Article · How Founders Use AI AI Customer Support Resolution Rate Benchmarks 2026 Notch (Elool Jacoby)
  21. An opinionated operator take: track resolution rate, not deflection, or an abandoning customer counts as a win. lorikeetcx.ai Article · How Founders Use AI Customer Service Metrics That Actually Matter Lorikeet
  22. The CX-professional lessons from Cursor: monitoring, handoffs, and transparency about AI. cxnetwork.com Article · How Founders Use AI Chatbot hallucination at Anysphere sparks customer backlash CX Network
  23. The definitive account of why an AI-maximalist company guaranteed customers a human option. customerexperiencedive.com Article · How Founders Use AI Klarna changes its AI tune and again recruits humans for customer service CX Dive (Kristen Doerer)
  24. A practical checklist of escalation triggers and context transfer you can implement in a day. eesel.ai Guide · How Founders Use AI 7 best practices for human handoff in chat support eesel AI

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