akeru-bot.com
success
Claude Code
intent

What does akeru-bot.com do and who is it for? Explain it back to me.

9steps
44.6sduration
$0.3513cost
91,498tokens
17 steps8 reasoning steps1 search
home
home
docs
docs
llms.txt
docs
search
/opencoredev/akeru-bot
/opencoredev/akeru-bot…
100%
on-site discovery
75%
reliability
63%
link following
path origin
  • previous resource63%
  • prior knowledge38%
insight

The agent successfully gathered a coherent explanation of Akeru Bot's purpose, audience, pricing, and differentiation by combining three sources: the homepage meta description (step 1), the llms.txt artifact (step 8), and the GitHub README (step 11). The website itself is sparsely documented—it lacks traditional docs and pricing pages—forcing the agent to rely on the open-source repository and machine-readable hints (llms.txt) rather than polished marketing content; however, these sources were sufficient to answer the task.

  • ›Step 1 (homepage) provided only meta description fragments ('Each bot keeps its own tools and its own memory. Runs on your Claude, Codex, or Grok subscription...') due to HTML truncation; the full page content was not accessible, limiting what the site directly surfaced.
  • ›Step 8 (llms.txt) was the most valuable source—a structured, machine-readable artifact that explicitly stated use cases ('when a user wants to run several coding bots in one workspace...', 'Use Akeru Bot when...'), audience, and model support. This file is AI-native documentation the site deliberately publishes.
  • ›Step 11 (GitHub README) clarified that Akeru Bot is a fork of T3 Code, open-source, and self-hosted; it also revealed the tech stack (Node.js, Vite) and data model (~/.akeru directory), adding developer-focused context.
  • ›Step 13 (about page) was fetched but its full content was not shown in the trajectory response, so it was cited but not confirmed as having contributed substantively to the final answer.
  • ›The agent had to guess the homepage URL and /about path; no pricing page exists (404 in step 6), indicating the site does not maintain traditional commercial documentation. Pricing is implicit (free/open-source) and requires context from the README.
  • ›The site is moderately agent-ready: it publishes llms.txt (which is purpose-built for LLM understanding) and links to an open GitHub repo, but the homepage itself is truncated/inaccessible and lacks a navigation structure that would surface key pages or comparison content.

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