Custom AI agent
One purpose-built agent designed against your workflow: inbound triage, outbound research, content drafting, support, or reporting. Prompt + tools + guardrails owned by you.
AI · automation · marketing ops
Custom AI agents and automations, built into your stack.
We design the agent or workflow, build it on your tools with your API keys, and hand it over with the playbook to run it. No black-box subscription. You own what we ship.
- Owned by you, not us
- Built on your stack
- Playbook handover
What we ship
Working systems. Not slide decks.
Every engagement ends with code in your repo, prompts in your config, agents running on your infra. We don't sell access to a tool we built. We build the tool, then leave.
Multi-step automation
Event-driven workflows that move data between your tools without a human in the middle. Form fill, CRM enrichment, email send, Slack notify, dashboard update. Resumable on failure.
Integration layer
The glue code between your stack pieces. APIs that don't have native connectors, webhooks that need transformation, scheduled syncs. Built into your existing infra, not a Zapier dependency.
Run-it playbook
Plain-English documentation of what the system does, what to do when it breaks, how to tune the prompts, and how to add a new step. Hand-off to your team in a one-hour walkthrough.
Where this sits in the Activation Stack
Layer 5. Marketing automation.
Marketing AI automation is the workhorse layer. It only works if the layers under it are solid. Bad lead source plus a great triage agent equals expensive bad leads, faster. We almost always pair this with one upstream layer.
L3Web / UX
L4Lead Gen
L5Automation
L6Loyalty
Method
Four steps. Three to five weeks.
01
Audit the workflow.
One week. We map the current process end to end, identify the highest-leverage automation candidate, and write the spec. You sign off before we build.
02
Build the agent or pipeline.
Two to three weeks. We build on your stack, with your API keys, using the LLM of your choice. You get progress demos every Friday.
03
Pilot with real traffic.
One week. We run it on a slice of your real volume with human-in-the-loop review. Tune prompts, fix edge cases, harden retries.
04
Hand off the playbook.
One-hour walkthrough with your operator. The playbook covers daily operation, common edge cases, and how to extend. You own the code, the prompts, the data.
Who this is built for
Imagine Scott. He runs SaaS with one marketer.
The marketer is great at strategy and terrible at the seven manual jobs eating her week. Lists in Sheets. Routing by hand. Drafts copy-pasted from ChatGPT into Gmail. We replace the manual jobs with agents and pipelines so she gets her week back for strategy.
Inbound triage went from a daily Slack ping to a CRM-side classifier that scores, routes, and drafts the first reply. The marketer reviews the draft in two minutes instead of writing it in twenty.
Outbound research went from a weekend list-building exercise to a Tuesday agent run that drops 80 enriched rows with drafted openers into the sequencer. She edits and approves. Doesn't write.
Monday reporting went from a manual stitch of three dashboards to a Slack-delivered summary at 8:30am with the week's numbers and a one-paragraph LLM read on what changed.
6-tool stack none of them talkone IC doing everythingleads in the inbox for 3 daysoutbound lists built in SheetsMonday morning report by handAI drafts copy-pasted from ChatGPTguessing where ad spend goes
FAQ
Questions buyers actually ask.
Do you charge a monthly subscription on top of the build?
No. You pay for the build, we hand over the system, you own and run it. Hosting + LLM tokens stay on your accounts so there is no rent-seeking layer between you and the tools you bought.
Will this work on our existing stack, or do we have to rip and replace?
We build into what you already run. CRM (HubSpot, Pipedrive, Salesforce, our own 8CRM), email (Resend, SES, Postmark), data (Sheets, Airtable, Postgres), and any modern API. The point of automation is to make the tools you already pay for talk to each other, not to add a seventh tool.
What does a typical agent or workflow actually do?
Inbound triage: classifies new leads, enriches them, scores them, routes to the right rep, drafts a first-touch reply for human review. Outbound research: pulls a target list, enriches each row, drafts a personalized opener, queues into your sequencer. Reporting: pulls weekly performance from 3-5 surfaces into one report with a one-paragraph LLM summary. We pick one or two of these to ship first, not all at once.
How long does a build take?
First working agent in 2-3 weeks from kickoff. Production-ready (logging, retries, fallbacks, the playbook your team uses to run it) typically lands at week 4-5. Larger multi-agent workflows take 6-10 weeks.
Who runs the agent after you ship?
Your team does, with the playbook we leave behind. We are on call for changes to the prompt or workflow, but day-to-day operation is yours. If you want us to run it for you instead, that is a managed-service engagement priced separately.
What is the cheapest way to find out if this is right for us?
Start with the Activation Audit. We diagnose your full marketing layer and tell you which workflows are good candidates for automation versus which problems are actually upstream of automation (positioning, content, lead source, pricing). If you escalate to a build, the audit fee credits against it.
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Next move
Start with the Audit. Build with confidence.
The Activation Audit names the workflows worth automating first, the ones that are actually upstream problems in disguise, and the rough cost-to-fix on each. If you escalate to a build, the audit fee credits against it.
