Launching today
DocsAlot
Documentation that works for both humans and AI systems
307 followers
Documentation that works for both humans and AI systems
307 followers
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.
docs used to be written for humans who were already lost. now they're also the thing that decides whether an AI agent gives your users correct information or confidently wrong information. the MCP + llms.txt combo is the right bet, that's basically the emerging standard for "here's how to actually understand my product." curious how you're handling versioning, when the product changes does the knowledge base propagate updates automatically or is that still a manual step?
DocsAlot
@rnagulapalle thanks so much really appreciate it.
so, we run synced checks, that you can configure the frequency off, and also do them based on triggers, like everytime a PR is merged to main. Run a doc diff to see if anything needs to be updated.
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
qq does this support openapi/swagger imports or is it text only for now? congrats for shipping today @haya_jawed
DocsAlot
@haya_jawed @vikramp7470 yes, it does, these API docs are created from OpenAPI specs.
https://docs.docsalot.dev/api-reference/index
Following is more details about it.
https://docs.docsalot.dev/document-apis/openapi-setup
For quick onboarding, you can just ask your agent to use the docsalot cli to create API docs.
https://docs.docsalot.dev/cli/index
DocsAlot
@haya_jawed @vikramp7470 We also support SDK, CLI and MCP creation from OpenAPI spec.
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.
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.
DocsAlot
Hi Product Hunt, I’m Faizan, founder of DocsAlot.
We built DocsAlot because more software is now being discovered, evaluated, and used by AI agents, but most products are still documented in a way that only really works for humans.
That creates a real adoption problem. If an agent cannot understand your docs, find the right setup path, or use your product without guessing, it becomes much harder for that product to show up in AI workflows and actually get adopted.
DocsAlot helps teams create, clean up, maintain, and distribute documentation that works for both humans and AI systems. That includes help centers, knowledge bases, developer docs, API docs, CLI docs, and AI-readable outputs like llms.txt, skill.md, and hosted MCP access.
What makes us different is that we are not trying to be just another docs editor. We are building the maintained knowledge layer that helps products become easier for agents to understand, recommend, and use, so documentation becomes part of agent adoption instead of just a support artifact.
Happy to answer questions all day. Thanks for checking out DocsAlot.
Connected my Notion help center and the hosted MCP endpoint worked first try, which never happens for me. The llms.txt output was surprisingly clean compared to what I had hacked together before.
DocsAlot
@fatih915449 appreciate you my friend. happy to answer any questions you have.