Find and use AI assetsalready proven tohelp creatorswork better

Make Better Automation Lab builds practical AI automation workflows, process maps, handoff systems, and agent-ready templates for real operations. Its resources focus on reliable workflow automation, clear ownership, and human review where judgment still matters.

Make Better Growth Lab creates practical AI marketing workflows for campaign planning, conversion copy, audience research, content systems, and creator growth. The goal is simple: turn messy marketing work into repeatable prompts, templates, and decision-ready processes without replacing human judgment.

Commerce Lab

Ecommerce growth

Practical systems for ecommerce conversion, retention, email, and customer value.

Content Lab

Content marketing

Practical systems for content, social media, copywriting, and growth.

Make Better Customer Lab creates customer research and customer experience workflows for feedback synthesis, churn conversations, retention, journey mapping, and service design. The resources help teams turn customer signals into clearer service and retention decisions.

Make Better Data Lab creates practical analytics workflows for KPI definition, marketing measurement, experiment design, and decision-ready reporting. Its templates help teams connect metrics to questions, decisions, and trustworthy interpretation.

Make Better Founder Lab creates lightweight founder workflows for strategy, prioritization, decision logs, weekly reviews, and operating cadence. The resources help founders make trade-offs visible and keep important decisions from disappearing into busywork.

Make Better Product Lab creates practical product management workflows for customer interviews, product discovery, onboarding audits, feature prioritization, and decision making. Each toolkit helps teams turn opinions into clearer problems, trade-offs, and next steps.

How to Build a Marketing Measurement Plan Before You Track Everything

A step-by-step marketing measurement plan covering business questions, KPI definitions, events, data sources, segmentation, attribution assumptions, QA, and decision-ready reporting.

How to Prioritize Features with Evidence, Not Scoring Theater

A practical feature-prioritization process using customer problems, evidence, strategic fit, cost, risk, confidence, reversibility, and explicit opportunity cost.

How to Synthesize Customer Interviews Without Flattening the Evidence

A practical customer-interview synthesis method for turning qualitative notes into patterns, preserving context, and connecting research to a real product or service decision.

Weekly Founder Review: What to Review, Decide, and Stop

A practical weekly founder review for separating activity from progress, surfacing decisions, reviewing evidence, stopping low-value work, and setting a small number of priorities.

B2B Discovery Call Preparation Checklist: Research, Questions & Next Steps

Prepare a B2B discovery call with a practical checklist for account context, hypotheses, problem questions, decision context, and a mutually clear next step.

How to Build an AI Marketing Workflow Without Losing Human Judgment

A step-by-step guide to using AI for marketing research, briefs, messaging, content adaptation, and review without handing strategy or claims to the model.

How to Refresh Old Content for SEO Without Creating Duplicate Pages

A practical content-refresh process for deciding what to update, consolidate, redirect, or leave alone while protecting search intent and internal relevance.

What Should You Automate First? A Practical AI Workflow Checklist

A practical framework for choosing the first business process to automate: score repetition, stability, cost, risk, exceptions, and the need for human judgment.