Business Systems Architecture
Your tools don't talk.
Your data lies.
Most agencies and startups aren't struggling with AI. They're struggling with a stack that was never designed to work together. The Runbook publishes the architecture fixes.
Systems We Architect — In Production
The Problem
You didn't build a system.
You assembled a stack.
“Our Pipedrive numbers don't match what Airtable shows. I don't know which one to trust.”
Agency founder, 22 employees
“The automation was built by someone who left. Nobody touches it because we don't know what breaks.”
Head of Ops, digital agency
“We added AI to our support stack but it keeps hallucinating because the data it's pulling from is inconsistent.”
Technical founder, SaaS startup
“Marketing keeps saying the leads are bad. Sales keeps saying the data is wrong. They're both right — it's the architecture.”
RevOps lead, 35-person agency
This is not a tool problem. You have the right tools. It's an architecture problem — nobody designed how data should flow between them, who owns what, and what the rules are. The Runbook fixes the architecture.
Built for operators inside growing teams.
Founder / CEO
Needs trustworthy revenue visibility and systems that scale beyond spreadsheets.
Head of Ops / RevOps
Owns CRM, automation, reporting, and internal systems — but lacks architectural clarity.
Technical Founder / Data-Aware CTO
Wants AI and advanced analytics, but knows the operational stack isn't clean enough yet.
What We Publish
Seven layers. One connected system.
01 — FOUNDATIONS
System Architecture & Decision Models
Documentation frameworks and architectural thinking using Notion — data modeling, ownership boundaries, sync logic, and structural decisions that prevent future rebuilds.
02 — REVENUE SYSTEMS
CRM Architecture
Pipeline modeling, schema design, reporting logic, and revenue visibility systems — implemented in Pipedrive and HubSpot for modern revenue operations.
03 — OPERATIONAL BACKBONE
Internal Operations Systems
Airtable and ClickUp-driven delivery systems, client tracking, production workflows, and structured internal databases that reduce operational chaos.
04 — AUTOMATION LOGIC
Workflow & Orchestration Design
Make, Zapier, and n8n architecture — trigger logic, error handling, and automation reliability frameworks that connect your stack without fragility.
05 — MARKETING SYSTEMS
Lifecycle & Attribution Architecture
ActiveCampaign and Klaviyo structure, segmentation models, and revenue attribution systems that connect marketing to CRM cleanly.
06 — DATA INFRASTRUCTURE
Database & Reporting Architecture
MongoDB models, structured analytics, reporting layers, and clean data pipelines that leadership can trust.
07 — AI INTEGRATION
Retrieval & AI Systems
RAG pipelines using LlamaIndex and LangChain, structured knowledge bases with Pinecone, and AI layers with ChatGPT, Claude, and Gemini — built on top of clean operational infrastructure.
Every piece of content is written for one moment.
Something Just Broke
You need the cause, not a tutorial. The architecture reason your Zapier keeps failing, your segments are wrong, your data doesn't match.
About to Make a Decision
Zapier or Make. Airtable or MongoDB. CRM as source of truth or not. The decision frameworks that prevent expensive mistakes.
Inherited a Mess
Someone built it and left. No documentation, no logic, no ownership map. How to audit what you have before you touch anything.
Flagship Product
The Operational Data System
A complete architecture playbook for agencies and startups. Database design, CRM schema, automation logic, AI integration, and reporting infrastructure — with failure modes at every step. This replaces a $15,000 engagement with a senior systems architect.
$999
// system architecture
Input → Validated Schema
↓ ownership rules
CRM → Single Source of Truth
↓ sync logic
Automation → Error-Handled Flows
↓ clean data layer
AI → Trustworthy Outputs
Architecture guides for operators who are done firefighting.
Every issue covers a real systems problem — schema design, automation failure modes, CRM architecture, AI integration logic. Written for operators who build things in production, not theorists who write about them.
No sponsored content. No AI hype. One issue per week.