Private beta · onboarding teams now

One brief in.
A full content run out.

AyushKM is an AI content automation platform for lean teams. It researches, drafts, and adapts every asset to your voice and your channels — and routes all of it through a human approval step before anything publishes.

Built for founders, solo marketers, and two-person content teams shipping on a weekly cadence.

The product

Most AI writing tools give you a blank box and a generic paragraph. This is a pipeline, with your material at one end and publishable work at the other.

01

Brief to draft

Drop in a brief, a transcript, or a product page. The pipeline researches the topic, pulls the sources it used, and returns a structured first draft instead of a blank page.

02

One idea, every channel

A single approved draft fans out into the formats you actually publish — long-form post, newsletter, LinkedIn, X thread, video script — each rewritten for the channel, not truncated for it.

03

Your voice, enforced

A voice profile built from your existing published work governs tone, vocabulary, and the phrases you never use. Every generation is scored against it before it reaches you.

04

Nothing ships unreviewed

Each asset lands in a review queue with its sources and diffs attached. Approve, edit, or send back. The model drafts; a person always signs off.

How it works

  1. Step 1

    Connect your material

    Published posts, docs, call transcripts, product pages. We build the voice profile and the retrieval index from what you already have.

  2. Step 2

    Run a brief

    One line of intent in, a researched and cited draft out — plus the channel variants you asked for, generated in the same run.

  3. Step 3

    Review and publish

    Edit inside the queue, approve what works, and export or push straight to your CMS. Every edit feeds back into the voice profile.

Under the hood

Claude
Drafting, research synthesis, and voice scoring
Retrieval layer
Grounded on your own corpus — cited, not invented
Review queue
Human approval gate on every asset
Next.js + Vercel
Edge-rendered app, Python inference services

Want in on the beta?

Tell us what you publish and how often. We onboard a handful of teams each week and build around their workflow.

contact@ayushkm.com