Shipping hirekai.ai as a fully AI-native marketing site
How I built Kai's marketing surface — 5 feature pages, 3 comparison pages, an automated blog with a 24-rule eval system and dynamic OG generation — plus Reddit and short-form video as the distribution layer. Claude Code, Cursor, and Remotion do the work. I set the brief and guard the quality.
Introduction
Kai is the AI executive assistant every knowledge worker needs to hire, but nobody can afford. Born from 18 months of observation inside Morgen, Kai is a proactive, connected, hyper-personalized agent that plans your day, prepares your meetings, and triages your inbox so you can stop firefighting your calendar.
Joining in February 2026 as AI Agent Manager, my scope is simple → everything that tells Kai's story to the outside world. The centerpiece is hirekai.ai → a marketing site built and shipped end-to-end with agents in the loop. Around the website, I run a build-in-public distribution loop on Reddit and short-form video. That's it. No content team, no community management, no external agency.
My Role & Mission
As AI Agent Manager at Kai, I don't manage people → I orchestrate agents. My job is to design, instrument, and operate the AI systems that produce Kai's marketing surface end-to-end.
Concretely → Claude Code writes and ships the marketing website. A custom blog pipeline auto-drafts, auto-evaluates, and auto-illustrates every article before it hits production. Reddit posts and short-form video carry the story outward. My role sits on top → set the brief, edit hard, ship.
The Strategy: The Website Is the Demo
Kai's positioning is a deliberate break from the calendar-app category. Not a better calendar. Not a chatbot you paste context into. Not another tool in the stack. Kai is the executive assistant you've been doing the job of → proactive, hyper-personalized, collaborative, connected.
The marketing site has to carry that thesis in how it's built, not just what it says. If Kai can run your morning, agents can run a marketing site. hirekai.ai is that proof.
1. The AI-Native Website → 5 feature pages, 3 comparison pages
The site ships with a full marketing surface, all authored with Claude Code, reviewed by me, deployed the same day → 5 feature pages (Calendar, Meetings, Email, Action Items, Daily Planning), 3 competitive comparison pages (vs Otter AI, vs Granola, vs Fyxer AI), plus pricing, about, progress, and the blog.
My approach → treat Claude as a senior collaborator, not a macro. Give it the full brand voice, the user research transcripts, the competitor teardowns. Let it draft. Edit hard. Ship. The entire marketing surface ships with zero traditional CMS → Next.js, typed content, edge-rendered OG images, agent-maintained copy.
2. The Automated Blog → 17 articles, 24-rule eval, dynamic OG
The blog is the engine. 17 published articles covering brand reviews, competitor comparisons, pricing deep-dives, and guides → and every one of them ships through a pipeline I built with Claude Code.
The pipeline has three moving parts. Auto-drafting → Claude drafts from a brief + verified source data, so every claim has a reference. Auto-evaluation → a 24-rule system (12 deterministic rules catching AI tells + 12 LLM-based rules checking voice, structure, and first-hand signal) blocks anything that reads like generic AI slop. Nothing ships without a status: needs-human-pass clear. Auto-illustration → a dynamic OG generator routes each article by type (guide, brand, comparison) to one of three branded templates, inserts the right brand logos, and renders the final social card at build time.
End result → a blog I can ship weekly without a content team, with automated quality guardrails stronger than most human editors.
3. Reddit → Build-in-Public Distribution
Reddit is Kai's primary external channel. I run a build-in-public playbook → share what I'm shipping, post the real numbers (including the ones that didn't work), answer in DMs. 19 posts published since launch, tiered targeting across r/SaaS, r/ClaudeAI, r/DoSEO, r/Startups.
The methodology is honest first, promotion never. Agent-assisted drafting on the wording, mine on the judgment → what to post, what to skip, when to respond. Subreddit bans and removals taught me to earn credibility with comments before posts → 2-week warm-up before posting in any new community.
4. Short-Form Video → Instagram & TikTok
Alongside the website and Reddit, short-form viral video on Instagram and TikTok carries the positioning outward. The goal is not virality for its own sake → it's putting the AI-native thesis in front of builders and knowledge workers in the feeds they actually spend time in. Videos ship from the same build-in-public loop → real product clips, real screens, real stories.
Overall Impact & Key Learnings
Kai launched publicly in 2026 with an AI-native marketing surface from day one. Website, blog, Reddit, video → all shipped with agents in the loop, a single human (me) as the brief-writer and the quality gate, and zero external content or agency spend.
- Automate the pipeline, not the taste. Blog quality at scale comes from the eval system and the brief, not from the model picking topics. Keep the machine fast and the judgment slow.
- The marketing site is the product demo. An AI product with a hand-written marketing site doesn't live its thesis. Build the surface the way the product thinks.
- Credibility is earned in comments, not posts. The Reddit bans were free tuition. Show up as a builder, share what's broken, and promotion becomes invitation.
Cursor
Claude Code
Final Cut Pro
Remotion
Reddit