$ 00 / GTM Engineering 2026 / Q2

Turn GTM problems
into working systems.

I help revenue teams diagnose the root constraint, define the rules, and ship workflows that turn messy data into action.

GTM operating loop Live - synced 12s ago
Signals Rules Action Memory
Inputs CRM + calls + intent 12,856 signals
Scoring rule >= 80 -> pod A Model v2.4
Next action Route Northwind Score 94
Memory write-back

Pricing visits beat generic hiring signals this week.

GTM systems

The output is not a deck. It is a working loop.

A GTM system is not a chatbot bolted onto a messy process. It is a loop: inputs come in, rules make decisions, outputs move the team, and memory improves the next run.

01 / Pipeline signal engine

Find the accounts worth acting on now.

Pull CRM, product, hiring, and intent data into one scoring loop. The output is not another spreadsheet. It is a ranked queue with a reason, a route, and a next step.

Hiring for ICP roles
Pricing page visited 3x
Champion changed
Signal engine 12,856 ingested
Where Signal source is equal to Hiring intent
And Account fit is greater than 80
Route to pod A
Top account Northwind Logistics
Score94
02 / Call intelligence

Turn every buyer conversation into the next move.

Capture what changed on the call, detect risk, map the stakeholder, and draft the follow-up while the context is still fresh.

Call summary

"We like the workflow, but migration risk is still open."

Detected objection Migration risk
Stakeholder owner RevOps + CFO
Next action Send proof doc
Email draft

Thanks for the conversation. I attached the migration proof doc with our approach, timelines, and security model.

03 / Opportunity map

Unify account context before the team acts.

Connect the signals around each account so reps can see what matters: usage, calls, renewal pressure, intent, and the highest confidence opportunity.

CRM
$1.2M ARR
Usage
+28%
Calls
3 last week
Intent
High
$ 03 Philosophy

GTM leadership is
becoming a technical job.

The teams that win the next five years will not out-spend the others on tooling. They will out-engineer them on context: what the system knows, where the knowledge lives, and how the loop updates itself when reality moves.

L0 Surface
Symptom
"Our pipeline is down."

The visible metric. Where every meeting starts and where most fixes prematurely end.

Lives in Standups - Slack threads
L1 Diagnose
Root constraint
The actual bottleneck in the operating model.

Discovery is shallow. Routing is wrong. Memory of last quarter is gone.

Lives in Discovery notes - interviews
L2 Reason
First principles
What is true about the buyer, the data, the team.

The few invariants you still believe with a different stack, a different rep, a different quarter.

Lives in CLAUDE.md - context bank
L3 Build
Workflow
The system that turns the principle into Monday's queue.

Rules, schemas, repos, prompts, checkpoints. The thing a new rep can run without you in the room.

Lives in Repos - schemas - queues
L4 Instrument
Feedback
Memory the workflow writes back into itself.

Weekly logs, decision history, recomputable scores. Why next quarter starts smarter than this one.

Lives in Session logs - weekly-memory.md

Most GTM teams operate at L0 and L1. The leverage is at L2-L4.

$ 04 Operating Pattern

Root problem, first
principles, workflow.
Then instrument the loop.

Every engagement runs on the same operating pattern. It looks like infrastructure because it is: six modules, one feedback wire, weekly memory written back into the system.

M01 Diagnose

Problem map

Translate the visible symptom into the root constraint the system needs to fix.

M02 Define

Rules

Write the business invariants: scoring formula, handoff logic, and what the system is not allowed to infer.

M03 Build

Workflow

Connect schemas, repos, prompts, and checkpoints into a path from raw input to useful output.

M04 Ship

Outputs

Create the artifacts the team actually opens: queues, briefs, prep docs, follow-ups, and reports.

M05 Remember

Memory

Keep weekly logs, decision history, what worked, and what broke so context survives the chat.

M06 Improve

Iteration

Patch the rules from what happened in the real world. The loop closes and gets smarter.

Contact

If you're building something real, let's talk.

Send the messy workflow, the spreadsheet nobody trusts, or the GTM problem that keeps turning into a meeting. I will tell you where I think the system is breaking.