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    AI-Powered Growth

    AI agents that grow your startup while you sleep

    Custom autonomous agents for marketing, sales, and developer advocacy. Built for your stack. Running 24/7. Compounding your growth without adding headcount.

    Live Demo

    See It In Action

    Seven autonomous agents running a weekly DevRel pipeline — from community triage to content delivery. Built on Claude Agent SDK and MCP.

    Weekly Pipeline Cycle
    MON
    TUE
    WED
    THU
    FRI
    Sage
    Community
    Echo
    Social
    Iris
    Synthesis
    Nova
    Growth
    Rex
    Comp. Intel
    Kai
    Content
    Vox
    Video
    Dex
    Docs
    Pax
    Outreach
    Mox
    Campaign
    Atlas
    Orchestrator
    Triage + 60 mentions
    Themes + friction map
    Experiments + intel
    Content + sales assets
    OKR compilation

    The Growth Bottleneck

    Manual Marketing Doesn't Scale

    Your team is drowning in repetitive tasks — content repurposing, lead follow-ups, community monitoring. Every new channel means more headcount.

    Hiring Is Slow & Expensive

    Finding, onboarding, and retaining marketing talent takes months. Meanwhile, your competitors are shipping faster with smaller teams.

    Tools Without Strategy Waste Money

    You've got a stack of marketing tools but no orchestration layer. Each one creates more work instead of eliminating it.

    Agent Types

    What I Build

    Every agent is purpose-built for your business. Here are the most common types.

    Content & Social Agents

    Automated content repurposing pipelines. Turn one blog post into social threads, newsletters, and community posts — running continuously without manual work.

    Lead Enrichment Bots

    Enrich inbound leads with technographic data, GitHub activity, and Stack Overflow presence. Score and route leads to your sales team in real time.

    Developer Advocacy Agents

    Monitor community channels, triage GitHub issues, answer developer questions, and surface product feedback — 24/7 without burning out your DevRel team.

    Competitive Intelligence

    Track competitor launches, pricing changes, and feature updates across the web. Get weekly briefings delivered to Slack with actionable insights.

    Email Sequence Agents

    Dynamic email sequences that adapt based on user behavior, product usage data, and lifecycle stage. Higher conversion, zero manual segmentation.

    Custom Integrations

    Connect AI agents to your existing stack — CRM, analytics, helpdesk, community platforms. Every agent is built to fit your workflows, not the other way around.

    How It Works

    01

    Audit Your Workflows

    I map your current marketing, sales, and community workflows to identify high-impact automation opportunities — where AI agents will save the most time and drive the most growth.

    02

    Build Custom Agents

    Each agent is purpose-built for your stack and workflows using LangGraph, Claude API, n8n, and Supabase. No off-the-shelf tools — these are engineered specifically for your business.

    03

    Monitor & Optimize

    Agents are deployed with observability built in. I monitor performance, tune outputs, and iterate based on real results. You get weekly reports on what each agent accomplished.

    Built With

    LangGraph

    Orchestration

    Claude API

    Reasoning

    n8n

    Automation

    PostgreSQL

    Database

    Pinecone

    Vector Search

    Redis

    Cache / Queue

    Docker

    Containers

    Neon

    Serverless DB

    Vercel

    Deployment

    OpenAI

    Models

    Frequently Asked Questions

    What are custom AI agents for marketing?+
    Custom AI agents are autonomous software systems built to handle specific marketing tasks like content repurposing, lead enrichment, community monitoring, and competitive intelligence. Unlike generic marketing automation tools, they use large language models to understand context, make decisions, and adapt their behavior based on results.
    What tech stack do you use to build AI agents?+
    I build agents using LangGraph for orchestration, Claude API and OpenAI for reasoning, n8n for workflow automation, PostgreSQL and Neon for data, Pinecone for vector search, Redis for caching and queues, and Docker for containerized deployment. The specific stack is chosen based on your requirements.
    How long does it take to build and deploy a custom AI agent?+
    A single-purpose agent (e.g., lead enrichment bot) typically takes 2-3 weeks from audit to deployment. A multi-agent pipeline (e.g., a full DevRel automation suite) takes 4-8 weeks. Every engagement starts with a workflow audit to identify the highest-impact automation opportunities.
    Can AI agents replace my marketing team?+
    AI agents augment your team, not replace it. They handle repetitive, time-consuming tasks — content repurposing, lead scoring, community monitoring — so your team can focus on strategy, relationships, and creative work. Most clients see 10-20 hours per week freed up per team member.
    What kind of ROI can I expect from AI agents?+
    Results vary by use case, but typical outcomes include: 60-80% reduction in manual content repurposing time, 3-5x faster lead response times, 24/7 community coverage without additional headcount, and 15-30% improvement in email engagement through behavioral adaptation.

    Ready to Automate Your Growth?

    Book a free AI Growth Audit. I'll map your workflows, identify automation opportunities, and show you exactly what agents can do for your business.

    Book an AI Growth Audit