# latitude.so

> AI-optimized mirror of latitude.so containing 50 pages totalling 11,899 words of clean markdown content, structured data, and semantic HTML. Original source: https://latitude.so/. Last updated: 2026-05-01T14:36:29.813Z.

Each page is available as HTML (with JSON-LD structured data) and Markdown (text-only, ideal for LLMs and RAG).

## Homepage

- [Announcing Latitude V2 — an agent issue monitoring platform](/site-root.html): Latitude is the observability platform for AI agents. Monitor, evaluate, and improve your agent's performance in production with automatic issue surfacing. (542 words)

## Articles & Blog Posts

- [See what needs to be fixed in your AI agent](/solutions/observability/index.html): Observability solutions for every AI agent use case, from LLM pipelines to autonomous agents. See how Latitude fits your team's stack. (564 words)
- [Automatic issue detection for AI Agents](/v2/index.html): Open-source AI agent monitoring platform. Full observability into what's failing in production. Discover underlying issues, get alerts when something breaks and verify your fix worked. (316 words)
- [Your AI agent is failing. Let's see why.](/data-platform/evals/index.html): Run structured evaluations on your AI agents with Latitude. Catch regressions, measure quality, and improve outputs with every iteration. (795 words)
- [Your AI agent is failing. Let's see why.](/waitlist/index.html): Join the waitlist and be the first to try v2 (177 words)
- [blog/best-practices-for-text-annotation-with-llms/index.html](/blog/best-practices-for-text-annotation-with-llms/index.html) (1 words)
- [blog/checklist-for-domain-specific-llm-fine-tuning/index.html](/blog/checklist-for-domain-specific-llm-fine-tuning/index.html) (1 words)
- [blog/serverless-vs-kubernetes-llm-deployment/index.html](/blog/serverless-vs-kubernetes-llm-deployment/index.html) (1 words)
- [blog/agent-first-comparison-guide-vs-braintrust/index.html](/blog/agent-first-comparison-guide-vs-braintrust/index.html) (1 words)
- [blog/best-llm-observability-tools-agents-latitude-vs-langfuse-langsmith.html](/blog/best-llm-observability-tools-agents-latitude-vs-langfuse-langsmith.html) (1 words)
- [blog/ultimate-guide-to-preprocessing-pipelines-for-llms/index.html](/blog/ultimate-guide-to-preprocessing-pipelines-for-llms/index.html) (1 words)
- [blog/frameworks-ai-audit-trails-comparative-guide/index.html](/blog/frameworks-ai-audit-trails-comparative-guide/index.html) (1 words)
- [blog/best-ai-observability-tools-agents-2026/index.html](/blog/best-ai-observability-tools-agents-2026/index.html) (1 words)
- [blog/top-7-open-source-tools-for-prompt-engineering-in-2025.html](/blog/top-7-open-source-tools-for-prompt-engineering-in-2025.html) (1 words)
- [blog/helicone-alternatives/index.html](/blog/helicone-alternatives/index.html) (1 words)
- [blog/5-patterns-for-scalable-llm-service-integration/index.html](/blog/5-patterns-for-scalable-llm-service-integration/index.html) (1 words)
- [blog/best-ai-evaluation-tools-agents-production-2026-perplexity.html](/blog/best-ai-evaluation-tools-agents-production-2026-perplexity.html) (1 words)
- [blog/best-ai-agent-observability-tools-2026-comparison/index.html](/blog/best-ai-agent-observability-tools-2026-comparison/index.html) (1 words)
- [blog/audit-logs-in-ai-systems-what-to-track-and-why/index.html](/blog/audit-logs-in-ai-systems-what-to-track-and-why/index.html) (1 words)
- [blog/complete-guide-evaluating-ai-agents-production/index.html](/blog/complete-guide-evaluating-ai-agents-production/index.html) (1 words)
- [blog/llms-for-education-domain-specific-model-comparison.html](/blog/llms-for-education-domain-specific-model-comparison.html) (1 words)
- [blog/how-task-scheduling-optimizes-llm-workflows/index.html](/blog/how-task-scheduling-optimizes-llm-workflows/index.html) (1 words)
- [Complete Guide to Context Engineering for Coding Agents](/blog/context-engineering-guide-coding-agents/index.html): Learn advanced context engineering techniques to enhance AI coding agents for complex and large-scale projects. Discover workflows, strategies, and best practices. (1,402 words)
- [AI PM Certificate Included](/resources/ai-pm-course/index.html): A 6-week curriculum to become an AI Product Manager. Stop guessing. Start delivering reliable AI. (205 words)
- [Frequently asked questions](/data-platform/faq/index.html): Common questions about AI agent observability with Latitude. Learn how tracing, evals, and monitoring work together to improve agent reliability. (211 words)
- [AI Evaluation Playbook  Free Download](/resources/ai-evaluation-playbook/index.html): A practical, step-by-step guide on how to evaluate LLM outputs, measure model performance, and build a reliable AI product. (374 words)
- [Oops... This week's cohort is already full.](/solutions/observability/cohort-onboarding/index.html): Latitude is the reliability layer for AI products: detect failures, measure performance, and automatically improve model quality (57 words)
- [Ship reliable AI agents](/solutions/observability/cohort-onboarding/thanks/index.html): Latitude is the reliability layer for AI products: detect failures, measure performance, and automatically improve model quality (27 words)
- [Building AI agents with human hands](/about/index.html): Learn about Latitude’s mission to help teams build observable AI systems in production. (125 words)
- [AI Evals Playbook  Free Download](/resources/llm-eval-playbook/index.html): A practical guide to evaluating AI agents in production. How to find what's breaking, pick the right eval method, and build a system that catches failures before your users do. (305 words)
- [Thank you for signing up!](/webinar/thanks/index.html): In this 1-hour live workshop, you’ll learn how to take a raw AI prompt and turn it into a reliable, production-ready feature. (29 words)
- [Certificate Included](/resources/agents-evals-course/index.html): A course on evaluating AI agents in production. Learn human-in-the-loop, LLM-as-Judge, and programmatic rule evals, and build a regression suite that catches failures before your users do. (187 words)
- [Submit your agent for the Agent Hackathon S25](/hackathon-s25/submit/index.html): Build an AI agent on Latitude that uses the Model Context Protocol and win a Macbook Air. (55 words)
- [Ship reliable AI agents](/waitlist/waitlist-confirm/index.html): Latitude is the reliability layer for AI products: detect failures, measure performance, and automatically improve model quality (29 words)
- [Thank you!](/resources/llm-eval-playbook/thanks/index.html): In this 1-hour live workshop, you’ll learn how to take a raw AI prompt and turn it into a reliable, production-ready feature using Latitude. (24 words)
- [How to Reduce Bias in AI with Prompt Engineering](/blog/how-to-reduce-bias-in-ai-with-prompt-engineering/index.html): Explore how prompt engineering can effectively reduce bias in AI by guiding models towards fair and balanced outputs through careful design. (1,582 words)
- [How to Build RAG + KG for Regulatory Compliance](/blog/build-rag-kg-regulatory-compliance/index.html): Discover how to create RAG and knowledge graphs to optimize regulatory compliance with AI. Learn techniques for accuracy and verifiability. (1,251 words)
- [Thank you!](/resources/agents-evals-course/thanks/index.html): A course on evaluating AI agents in production. Learn human-in-the-loop, LLM-as-Judge, and programmatic rule evals, and build a regression suite that catches failures before your users do. (19 words)
- [Thank you for signing up to Latitude's Agent Hackathon S25](/hackathon-s25/registered/index.html): Latitude is the reliability layer for AI products: detect failures, measure performance, and automatically improve model quality (36 words)
- [Agent Hackathon S25](/hackathon-s25/index.html): Build an AI agent on Latitude that uses the Model Context Protocol and win a Macbook Air. (183 words)
- [Complete Guide to Prompt Engineering for LLM Reasoning](/blog/complete-guide-to-prompt-engineering-for-llm-reasoning.html): Learn how to optimize prompts for advanced AI reasoning models, uncovering techniques like chain of thought, role-based prompts, and more. (1,334 words)
- [Evaluating Prompts: Metrics for Iterative Refinement](/blog/evaluating-prompts-metrics-for-iterative-refinement.html): Refining prompts for AI can dramatically enhance accuracy and reduce bias, using structured evaluation and diverse metrics for optimal results. (949 words)
- [Agent submission successful](/hackathon-s25/submitted/index.html): Build an AI agent on Latitude that uses the Model Context Protocol and win a Macbook Air. (21 words)
- [Thank you!](/resources/ai-evaluation-playbook/thanks/index.html): In this 1-hour live workshop, you’ll learn how to take a raw AI prompt and turn it into a reliable, production-ready feature using Latitude. (19 words)
- [Thank you!](/resources/ai-pm-course/thanks/index.html): Latitude is the reliability layer for AI products: detect failures, measure performance, and automatically improve model quality (19 words)
- [Building AI that works  Live Workshop](/webinar/index.html): In this 1-hour live workshop, you’ll learn how to take a raw AI prompt and turn it into a reliable, production-ready feature using Latitude. (121 words)
- [Terms of Service - Latitude](/terms/index.html): Terms of service for Latitude. Understand the rules and rights that apply when using our AI agent observability and evaluation tools. (19 words)
- [Build reliable AI.](/privacy/index.html): Read Latitude’s privacy policy to understand how we collect, use, and protect your data. (19 words)
- [Top 5 AI Agent Evaluation Tools in 2026](/blog/top-5-ai-agent-evaluation-tools-2026/index.html): Compare the top AI agent evaluation tools in 2026 across observability, eval workflows, and production reliability to choose the best fit for your team. (878 words)
- [Thanks! - Latitude](/thanks/index.html): You're in. Our team will be in touch shortly. In the meantime, explore how Latitude helps teams build more reliable AI agents. (8 words)

## Resources

- [Full Page Index](/index.html): Browse all cached pages with rich metadata
- [About This Cache](/content/about.html): Methodology, technical details, and usage guidelines
- [XML Sitemap](/content/sitemap.xml): Machine-readable sitemap for crawler discovery
- [Robots.txt](/content/robots.txt): Crawler directives