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TRAIL Labs
Company, product, and engineering — what TRAIL Labs builds, how, and why.
TRAIL Labs joins the Google for Startups Cloud Program
TRAIL Labs has joined the Google for Startups Cloud Program, gaining cloud credits and support to run our AI-search measurement and content engine at scale.
19 posts
TRAIL Labs has joined the NVIDIA Inception program
TRAIL Labs has joined the NVIDIA Inception program, gaining compute, technical resources, and a network to grow our AI-search measurement and content engine.
Is AI search visibility enough? Why we changed our question
AI search visibility is countable, but more of it doesn't mean your accurate information reached the answer. What measurement and three papers taught us.
Defending Against RAG Hallucinations: Types and Limits
RAG retrieves outside documents to ground answers, yet hallucinations still arise in retrieval and generation. Types, defenses, and limits of automated checks.
Design principles for a GEO data AI agent
Design principles for a GEO data AI agent: text parsing vs. structured tool calls, blocking irreversible actions, and why skipping evals is risky.
Open-Weight vs. API Models: Own a Domain Model with Hermes
Own the model instead of renting it: why open weights, open vs. API models, Nous Research Hermes 4.3, its function-calling standard, and the data flywheel.
What Is Harness Engineering? Why the Same LLM Differs
The harness around the model keeps agents safe and steady: how it differs from prompting, scoped tools, hooks, layered context, verification, MCP self-call.
What Is an AI Agent? Permissions and Approval Gates
Autonomous AI agents, as popularized by OpenClaw (formerly Moltbot): prompts vs. agents, the risks of broad permissions, and why you need human approval gates.
What Is Vibe Coding? Its Limits and the AI Code Check Loop
Vibe coding means AI writes code from your intent. What it solved, where it breaks, how it differs from agentic coding, and how to add a verification loop.
What Is First-Party Data? Marketing After 3rd-Party Cookies
As third-party cookies fade, first-party data shows customer intent directly. What it means, how it differs from third-party data, and how marketers can use it.
How to Write Good Prompts: Pin AI Output with Context Design
A prompt is context design, not a magic spell. How to enforce LLM output formats with structured output, pin down shifting results, and where prompts fail.
All posts in TRAIL Labs
7 posts in TRAIL Labs. Click a title to open it.
- Why people get different results from the same AI
- Why Content Ops Fail When You Start with Automation
- Why More Marketing Tools Scatter Your Brand Tone
- What Is MCP? Connecting Tools to Your AI Assistant
- What Is an API? Sync and Async Explained with a Restaurant
- Designing an AI content pipeline: QA and 5 common mistakes
- 5 agentic workflow patterns: from chaining to orchestrators