The operational library

How we actually work

Step-by-step implementation patterns for AI products, n8n automation, revenue workflows, and production operations. Explore the tools, sequence, and planning considerations for each build.

Build

Claude Code Skills: Our Agentic Engineering System

How we standardize engineering work as reusable Claude Code skills, so every build starts from a proven playbook instead of a blank prompt.

5 steps · 1-3 weeks depending on how many processes we capture as skills

AI Product Build: From Idea to Production

Our end-to-end process for shipping an AI product or feature: scope the risky part first, build on proven rails, launch with evals and guardrails.

5 steps · 3-8 weeks: one week to de-risk the AI core, the rest is shell, guardrails, and rollout

Automate

n8n Workflow Builder: Custom, Production-Ready Builds

We build custom n8n workflows for your business that survive production: mapped processes, idempotent builds, Slack alerts, and a clean handover.

5 steps · 1-3 weeks per workflow depending on how many systems it touches and how clean their APIs are

Grow

Lead Qualification Workflow: HubSpot and Salesforce Scoring

Lead qualification that captures, scores and routes inbound leads in HubSpot or Salesforce, so hot leads get a booking link in minutes and cold ones wait.

7 steps · 2-4 weeks depending on how many capture points and CRM quirks are involved

Automated Content Adaptation Workflows (GEO + SEO)

Our automated content adaptation workflow for GEO and SEO: real search data drives research, human review gates every draft, schema and links ship by default.

6 steps · 2-4 weeks to install the system; rankings compound over months, and anyone promising faster is selling something

GTM Automation Workflow: The Six-Step Outbound Stack

The six-step GTM automation stack we build: find people, spot buying signals, identify visitors, reach out, log in the CRM, feed content back.

6 steps · 3-5 weeks to a working pipeline; expect another few weeks of approval-queue feedback before draft quality settles

Signal-Based Outbound: From Buying Signal to First Line

A buying signal becomes a verified contact, a message that opens with what just happened, and a reply logged in your CRM. Signal, Clay, Instantly, CRM.

6 steps · 3-5 weeks to the first live sequence, mostly set by sending domain warm-up

Website Visitor Outreach Workflow: Same-Day, Page-Specific

Identify the companies reading your pricing page, score them against your ICP, and send a same-day message that references the page they viewed.

5 steps · 2-4 weeks once the identification tool is installed; longer if new sending domains need to warm up

Operate

Customer Service Workflow Automation in 3 to 6 Weeks

Customer service workflow automation: triage every ticket, draft replies a human approves, answer FAQs only from your docs, and earn autonomy with data.

5 steps · 3-6 weeks to reach reviewed drafts in production; autonomy decisions come after real usage data, not on a launch date

AI Agent Deployment

How we take an agent from working-on-a-laptop to production: scoped permissions, real secrets handling, sandboxing, eval gates, observability, and rollback.

6 steps · 2-6 weeks depending on how many systems the agent touches and the state of the existing code

CRM Hygiene Automation: The Weekly Job That Keeps It Clean

A weekly n8n job for HubSpot, Salesforce or Zoho: merge duplicates, flag stalled deals, route new leads and send one owner a Slack digest.

5 steps · 1-3 weeks depending on the CRM and how much existing duplication needs a first cleanup

Want one of these running in your business?

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Steal our production automations

The exact n8n flows, Claude Code setups, and prompts we ship for clients, broken down step by step. No spam, unsubscribe anytime.

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