Resources

Field notes from operating AI inside marketing teams.

Playbooks, case studies, frameworks, and unsolicited opinions — everything we wish we'd known building AI adoption at scale. Written for marketing leaders who'd rather skip the keynote and read the postmortem.

All Playbooks Case studies Frameworks Field notes
Featured · Playbook

The 5-step framework we used to move 122 enterprise customers from "playing with AI" to a documented operating system.

A practitioner's account of building Adobe GenStudio's adoption system — what worked, what was a waste of time, and the exact framework you can lift for your own team this quarter.

AS
Ankita Sood · 18 min read
Published this month · founder essay
Read the playbook
Latest

The library, in chronological order.

The 200-pattern library: how we cataloged every marketing AI workflow worth running

A taxonomy across content, research, campaigns, reporting, and customer comms — built from the workflows real marketing teams ran in production over 12 months.

Read more →

How a 9-person SaaS marketing team published 14 workflows in a month

The story of a Series B marketing org that swapped scattered AI experiments for a shared library — and what it cost them in time, money, and political capital. (Spoiler: not much.)

Read the case →

The AI Adoption Score, explained

What the 0–100 score actually measures, why each input is weighted the way it is, and how to read your own team's score without confusing "active" with "valuable."

Read the framework →

Why "AI strategy" is a non-deliverable

Every team I've worked with that produced an "AI strategy deck" was further behind a year later than the team that just shipped three workflows. A short essay on operating vs. theorizing.

Read the essay →

Onboarding a marketer onto a workflow library in Week 1

The exact onboarding sequence — assignments, rituals, expected outputs — that gets a new hire from "logged in" to "publishing workflows" inside their first 30 days.

Read the playbook →

Defending AI ROI to a board that's already skeptical

What numbers to walk in with, what stories to lead with, and what to never bring up in the first quarter. A board-prep checklist for VPs of marketing.

Read the framework →

The hidden cost of marketing turnover, in AI workflows

30% annual turnover. 12 AI tools per team. Zero documentation. We did the math on the institutional knowledge walking out the door every year — and it isn't small.

Read the essay →

From 8 AI tools to one operating layer — a 60-day transition

One demand-gen team's audit, transition plan, and what actually stayed in the stack after they introduced a workflow layer. (Most tools survived. The chaos didn't.)

Read the case →

The Marketing AI maturity model (and how to skip the bottom three rungs)

A maturity model based on observable behaviors — not aspirations — and a fast track for teams who want to land at level 4 without spending two years at level 2.

Read the playbook →
The Guzzle Labs Memo

A short letter, every other Monday.

One playbook, one field note, one workflow you can lift. Written by Ankita and the Guzzle Labs team. ~3,500 marketing leaders read it. No fluff, no sponsorships, easy unsubscribe.