Custom AI agents for the leverage points in your growth stack — built by someone who ran the teams they replace, not sold AI at a conference.
Most "AI agent" work in market right now is demos and decks. Our team has spent years running growth functions — so when we build an agent, we know the real bottleneck it has to clear, the systems it has to plug into, and the metrics it has to move. Agent engineering here is operator engineering.
Creative briefs from your own winning ads. Daily paid-media reporting that reads like a strategist wrote it. Ad-ops agents that flag, pause, and propose — not auto-pilot, real-operator assist.
Segmentation that evolves with your customers. Email and SMS copy variants tuned to voice. Journey audits that read every flow and propose upgrades — weekly, not quarterly.
First-touch resolution for repeatable tickets. Smart escalation to humans when stakes rise. Voice-matched responses trained on your brand's actual tone — not a generic assistant.
Finance rollups. Weekly data digests across Shopify, GA, ad platforms, warehouse. Workflow agents that sit inside Slack and run the checks a junior analyst used to run.
Competitive monitoring that reads the web like a strategist. Ad-library scrapers with summary + takeaway. Customer review digest agents that tell you what's changing before metrics do.
Content agents that brief, draft, and edit at the quality bar of a lead editor. Technical SEO auditors that crawl and prioritize. Editorial calendars that actually ship.
The above are the common asks — but most engagements start with a workflow nobody has automated yet. That's the fun work. If you can describe the shape of the problem, we can almost always build the agent that solves it. Every build is custom-fit to your stack, data, and voice.
A DTC brand runs 40+ ad concepts a week. A junior strategist used to spend 6 hours briefing them. Now an agent reads yesterday's winners, pulls voice-of-customer from reviews and support, writes briefs in the brand's format, and drops them in the creative team's Notion by 9am.
The strategist reviews instead of writes. Creative throughput doubles. Quality goes up, not down — because the agent has context the human didn't have time to gather.
It's not autopilot. It's leverage. Every agent we build has a human in the loop where it matters and a clear metric it's accountable to.
We map the workflow together. What it takes, what it spits out, where it breaks. If agent isn't the right answer, we say so.
Decide tools, data, human-in-loop points, eval criteria. One page you can actually read. Approved before we write code.
Prototype in a week, production deploy inside a month. Monitoring, logs, a kill-switch. Real tools in your real stack.
Agents degrade if left alone. Monthly tuning retainer keeps prompts, tools, and context fresh as your business moves.
One workflow, scoped and shipped. Best for proving the model before you commit to a broader program.
A portfolio of 3–6 agents across your growth, lifecycle, and ops stack. Sequenced by ROI, tuned monthly, maintained indefinitely.
For teams with internal builders who want a senior operator to stress-test the roadmap, pick the right first build, and avoid the AI-slop pitfalls.
A 30-minute discovery call — no deck, no pitch. We'll map the workflow, pick the right first agent, and talk through what good looks like.