DocsAlot - Documentation that works for both humans and AI systems
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DocsAlot turns scattered help center articles, knowledge base, and developer docs into one source of truth for humans and AI agents. It includes hosted MCP, llms.txt, and skill.md. Your docs show up in AI answers, onboarding gets faster, and agents stop reading stale context.
Replies
This feels timely. Docs are no longer just for users and support teams. AI agents also need a reliable source of truth now.
Curious how DocsAlot handles drift over time. If the product changes, does it detect outdated docs automatically, or do teams still need to manually trigger updates?
DocsAlot
@abhishekpatel you can set triggers based on events or fixed schedule.
Love the concept—making docs dynamically ready for AI agents and managing llms.txt is brilliant.
From a quick CRO Audit lens on your mobile landing page, here are 3 quick conversion leaks you can patch today:
Flipped CTA Priority (1000017242.png vs 1000017252.png): Near the top, "Try DocsAlot" is primary (Blue). At the bottom, "Request AI audit" suddenly becomes the primary blue button. This role reversal confuses the user's visual habit.
Microcopy Friction: Mixing "Get AI visibility audit" and "Request AI audit" creates minor text inconsistency. Standardize the verb to smooth the funnel.
The Non-Technical Barrier (1000017245.png): The terminal CLI code block is great for devs, but it creates friction for non-technical buyers (CEOs/PMs) who hold the credit card.
Fixing these visual bugs could easily boost your signups from today's traffic. Best of luck! 🙌
DocsAlot
@rida11 Thanks so much this is really great.
Swytchcode
This is really amazing. Do you have a plugin to embed in docs or we need to pass the doc url to generate the context
DocsAlot
@chilarai Can you elaborate, what kind of embed you mean. You can pass any url to generate the context, even your website.
And we can also generate docs.
DocsAlot
FYI, I should mention that as part of this launch we are offering 50% off on all pricing tiers, for 3 months. But the pricing is only valid today.
I like the focus on keeping human facing docs and agent readable documentation tied to the same source
how do you handle versioning and change tracking when product docs or API references are updated frequently?
DocsAlot
@jasko_ctrl Thanks for the comment.
we have our own version diff, and complete CMS. So we don't just rely on docs-as-code. We maintain full versinoing of the docs. This means that technically you can revert to any version of the docs created at any point in time, without having to have a copy on your computer.
hope that answers your question.
@new_user_2790a57d4d nice, thanks for the answer
The failure mode I keep hitting wiring agent docs through MCP: the agent grabs a confident, plausible snippet that's one version stale and never flags it, because retrieval has no notion of 'this section is old.' Emitting llms.txt is the easy part. The valuable bit is a freshness signal inside the MCP response itself, so an agent can tell a current param from a deprecated one. Does your outdated-doc detection surface a staleness marker in the MCP payload, or only in the dashboard?
DocsAlot
@dipankar_sarkar So we serve the docs in real time, via manifest fetch, and then specific documentation fetch. This means if the docs are fresh the repsonses are fresh.
Now how to keep the docs fresh is the main problem. Which docsalot solves, by synching your inputs (source-code, website, slack, discord, intercom), with the actual knowledge-base on autopilot.
Context.dev
AWESOME!
DocsAlot
@yahia_bakour3 🙏
how does docsabot actually keep things in sync when a source article changes, is it just polling or is there some kind of webhook setup
DocsAlot
@smeyye214197 there are things called triggers, that fire based on certain conditions.
The MCP + llms.txt combo makes sense for the AI-answers use case. One thing I'd want to know before pointing this at our repo: since it's reading source code to detect stale docs, how does it handle internal-only context, things like code comments referencing unreleased features or internal tooling that shouldn't end up summarized into a public-facing llms.txt. Is there a way to mark certain source paths as off-limits for the AI-facing output, or is that on the roadmap?
DocsAlot
@galdayan yes, we have a .docsalot.yaml file, that allows you to ignore certain files or folders.
@new_user_2790a57d4d that's exactly what I needed to hear. Good to know it's opt-out at the file/folder level rather than all-or-nothing. Will try it out on our repo this week.
DocsAlot
@galdayan do book a call with me, happy to help out if you have any questions.
Basedash: AI data analyst
DocsAlot
@kris_lachance thanks Kris, we have a long list of features coming up in the future. More specifically we want to support OpenAPI -> CLI+skill output. Plus lots of observability feature, that allows the docs to self-heal.