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Agentrail

@UseAgentrail

Understand how AI agents discover, choose, and use your product. Find what stops them. Improve what wins them over.

 San Francisco
agentrail.co
Joined September 2025
  • Tweets39
  • Following12
  • Followers56
spent years getting google to notice us, only for an AI agent to get stuck on our signup page 🫠
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Your AI traffic chart is going up and to the right. It doesn't mean agents are using your product. ~80% of AI crawling is for training (Cloudflare). Only 2–3% is an agent doing a real task. That 2–3% is the traffic worth designing for.
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How to tell AI traffic apart: agentrail.co/blog/agent-beha…
What agent behavior looks like in production · Agentrail

What agent behavior looks like in production · Agentrail

Agent behavior is the path a task takes across docs, APIs, SDKs, and MCP. Most AI bot traffic is still a crawl, not a task a person sent.

agentrail.co
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Your next power user will never see your homepage. It'll read your docs, pick a tool and get to work. Or pick your competitor. First UX. Then DX. Now AX: agent experience. It comes down to 2 questions: Did the agent pick you? Did it use you right?
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1/7 Agent tasks die in 5 places. Before you open a PR to fix your docs or tooling, find the step where the agent got stuck. Each failure needs a different fix. Here’s how we break it down at AgentRail. 🧵
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7/7 Name the step before the PR: → Can’t find it → Can’t read it → Wrong tool call → Hit a wall → Died mid-run “Agents struggle with our product” is too broad to act on. Which of these is breaking your agent workflows most often?
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6/7 It dies mid-run. The agent finds you, reads the docs and starts the task. Then a vague 500 or a timeout at step 7 leaves it with nothing to show. First check: can it recover, retry or resume without starting over?
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5/7 It hits a wall. OAuth. A CAPTCHA. A signup form. A 429. A human might click through or know when to retry. An agent may have no clear next step. First check: where does progress depend on human intervention?
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4/7 It calls the wrong tool. Wrong endpoint. Wrong CLI flag. Wrong version. The agent gets far enough to act, but follows instructions that don’t match the task. First check: are your examples, versions and tool descriptions pointing to the same path?
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3/7 It can’t read you. The agent finds your docs, then lands on a JavaScript shell, a login gate or a screenshot of a table. The information is there. The agent can’t use it. First check: can it extract the instructions it needs?
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2/7 It can’t find you. Claude, Cursor or Codex never reaches your docs. Your examples could be perfect. Your API could be exactly what it needs. Neither helps if the agent never discovers them. First check: can it find the right entry point?
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Hot take: Shipping an MCP server doesn't make your product agent-ready. AI agents still hit 5 walls: 1. Can't find your docs 2. Can't read your content 3. Calls the wrong tool 4. Gets blocked by auth 5. Dies on vague errors More tools ≠ better agent experience. Fix the bottleneck, not the symptom.
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Bro is lifting weights and running on a treadmill. At this point, he has a better fitness routine than me. 😭 @UseAgentrail
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The model isn't why agents fail on your product. Your page is. Same models, same tasks, only the pages changed: Task success: 49% → 89% Steps per task: 9.3 → 6.5 What agent readiness actually means, and how to check yours, in the reply.
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agentrail.co/blog/what-is-ag…
What Is Agent Readiness? · Agentrail

What Is Agent Readiness? · Agentrail

Agent readiness is whether an AI agent can find, read, use, and pay for a product on the public web. A scan checks that. It does not prove a task finished.

agentrail.co
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Build something agents want. @UseAgentrail shows you what that is. Agents now read your docs, call your API, and pick a vendor in seconds. When they get stuck, you never find out. We show you where they break so that you can fix it. The waitlist is live: agentrail.co
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We pivoted. Our name finally caught up. GrowthOS is now @UseAgentrail. We help companies make their products easier for AI agents to use and recommend. Backed by @joinef (@akashizzle, @Alicebentinck, @rahulsamat and @skorde955 ) + brilliant angels. Join the waitlist: agentrail.co P.S. We couldn’t agree more with Trump, so we bought agentrail.si too. One step closer to AGI.
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Shipping Never stops! Join the waitlist : phineus.ai/
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Agent-Led Growth (ALG) is becoming a new distribution model. An AI agent finds your product, evaluates it, and installs it directly into a user's codebase. We've analysed 400K+ agent sessions across 5M events. The metric that matters is agent task completion rate: can the agent use your product to finish the job? We're building this measurement layer into GrowthOS. Join the waitlist: phineus.ai
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Shipping from the heart of the world’s most ambitious city SF 🌉 Surrounded by one of the craziest, most relentless founder out there: @joinef Back to building. Back to shipping. 🚀
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