Every resource founders actually use, in one library.

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

1. Distils the conference's eval takeaways, including hunting implicit user feedback signals. vellum.ai Article · How Founders Use AI Big Ideas from the AI Engineer World's Fair Vellum
2. How to make your AI coding tools carry the eval workload for you. hamelhusain.substack.com Article · How Founders Use AI Evals Skills for Coding Agents Hamel Husain
3. Turning evals into a deploy gate so a bad prompt change never reaches users. braintrust.dev Article · How Founders Use AI Best AI Eval Tools for CI/CD Pipelines Braintrust
4. A vendor-neutral ranking to cross-check the tool vendors' own comparisons. techsy.io Article · How Founders Use AI 8 LLM Eval Tools Ranked: No Product to Sell TECHSY
5. A trusted independent voice explaining why iteration speed is the whole game. simonwillison.net Article · How Founders Use AI Simon Willison on "Your AI Product Needs Evals" Simon Willison
6. How to use one model to grade another without inheriting its biases. deepeval.com Article · How Founders Use AI LLM-as-a-Judge: Top evaluation techniques and best practices Confident AI (DeepEval)
7. A practical setup guide for automated judging, the technique that makes evals scale. agenta.ai Guide · How Founders Use AI LLM as a Judge: Guide to LLM Evaluation Best Practices Agenta
8. The clearest end-to-end explainer of why hallucinations happen and the layered defences that work. lakera.ai Guide · How Founders Use AI LLM Hallucinations: Understand and Tackle AI's Most Persistent Quirk Lakera
9. Separates factuality from faithfulness errors and matches each to its fix. getzep.com Article · How Founders Use AI How to Reduce LLM Hallucinations Zep
10. A prioritized playbook: grounding and abstention first, verification where errors are expensive. futureagi.com Article · How Founders Use AI How to Reduce LLM Hallucinations: 7 Proven Strategies Future AGI
11. Production-focused checklist including the stat that layered guardrails cut hallucination rates 71-89%. airbyte.com Article · How Founders Use AI 8 Ways to Prevent LLM Hallucinations in Production Airbyte
12. Validate and auto-retry model outputs against a schema; 6M downloads a month for a reason. github.com Tool · How Founders Use AI Instructor: structured outputs for LLMs Jason Liu (567 Labs)
13. The Instructor creator on why validation beats vibes for reliability. latent.space Podcast · How Founders Use AI High Agency Pydantic > VC Backed Frameworks, with Jason Liu Latent Space
14. Schema-guaranteed responses kill an entire category of made-up fields and invalid values. developers.openai.com Guide · How Founders Use AI Structured model outputs (OpenAI docs) OpenAI
15. Connects structured output techniques across providers in one practical reference. agenta.ai Article · How Founders Use AI The guide to structured outputs and function calling with LLMs Agenta
16. Open-source programmable rails: topic control, fact-checking, and jailbreak detection. github.com Tool · How Founders Use AI NeMo Guardrails NVIDIA
17. A hub of pre-built validators that intercept bad inputs and outputs before users see them. github.com Tool · How Founders Use AI Guardrails AI Guardrails AI
18. How the two main open-source guardrail approaches compose into one defence stack. guardrailsai.com Article · How Founders Use AI Guardrails AI and NVIDIA NeMo Guardrails: A Comprehensive Approach to AI Safety Guardrails AI
19. The legal analysis of the ruling, in plain enough language for a founder. mccarthy.ca Article · How Founders Use AI Moffatt v. Air Canada: A Misrepresentation by an AI Chatbot McCarthy Tetrault
20. Breaks the failure into design decisions you can audit your own bot against. envive.ai Article · How Founders Use AI Case Study of Air Canada's Chatbot Misleading on Bereavement Fares Envive
21. Short, shareable summary for convincing your team that reliability is a legal issue too. aibusiness.com Article · How Founders Use AI Air Canada Held Responsible for Chatbot's Hallucinations AI Business
22. A PM-friendly decision guide with real cost and time estimates for each rung of the ladder. news.aakashg.com Article · How Founders Use AI RAG vs Fine-tuning vs Prompt Engineering: The Complete Guide Aakash Gupta (Product Growth)
23. A neutral, definition-first explainer you can hand to any teammate. ibm.com Article · How Founders Use AI RAG vs fine-tuning vs prompt engineering IBM
24. Runnable code for the context techniques the essays describe. platform.claude.com Guide · How Founders Use AI Context engineering: memory, compaction, and tool clearing (Claude Cookbook) Anthropic

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