What this is: The 15-minute UI sequence to set up the live test of the "Quit Guessing" positioning against a Wrench.ai workspace. Pair with the Quit Guessing Framework FAQ (linked in the same database).
Status note (2026-04-26): Steps 1 and 2 of this runbook were partially completed via API on the Dan workspace. The three meta-measures and four competitor advertisers have been created. What remains: trigger the creative 360 my_brand run (Step 3) and re-pull the data (Step 4). This runbook stays as the definitive procedure for running the test in a client workspace from scratch.
Location: Wrench.ai → Meta-Measures / Corpus → New
For each, paste the full description exactly. Minimum 200 words — do not shorten. Polarity and stakes are what give the model signal; shorter descriptions dilute.
This professional buys sales intelligence tools because everyone in their category buys sales intelligence tools. They evaluate software with a spreadsheet of features and a POC checklist. They are not excited. They are not frustrated. They are procurement-minded operators working through a roadmap handed down by a VP who read a Gartner report. They respond to feature depth, integration breadth, and pricing parity. They accept generic category language because generic category language is what they're searching for in procurement databases. They are reliable buyers but they do not evangelize. They do not tell a story about their tools to peers. They buy, they implement, they move on. When a sales intelligence vendor says "AI-powered," this buyer hears "table stakes." When the vendor says "modern GTM teams," this buyer hears "the category we are budgeted for." There is nothing wrong with this buyer. But there is also nothing to pull on — no lever, no pain, no tribe. They are the floor of the market, not the ceiling.
Tags / affinity type: audience / buyer profile. Brand target.
This buyer is tired. Not tired the way they put in a LinkedIn post — tired the way they tell their spouse at 9pm on a Tuesday. They have spent three years buying sales tools that promised precision and delivered spreadsheets. They have been told to "just add more activity" and "just refine your ICP" and "just iterate on the message" until they cannot look at a Monday pipeline review without wincing. They do not want another tool. They want to stop guessing. They want to stop the weekly ritual of picking 50 accounts from a list of 5,000 based on vibes and a sales rep's hunch, sending 200 emails with no way to know who should actually respond, and then rebuilding the forecast when it doesn't work. They refuse the narrative that harder work fixes a broken process. They distrust vendors who lead with "AI" without saying what the AI decides for them. They are drawn to language that names the pain directly — guessing, gut-feel, pipeline roulette, shotgun outreach. They belong to a cohort of GTM operators who have quietly decided that the next tool they buy has to replace the guessing, not augment it. When they hear "Quit Guessing," they do not hear a slogan. They hear permission to stop doing something they've secretly resented for years. This is not a feature message. This is an identity message.
Tags / affinity type: audience / buyer profile. Brand target.
This buyer is not looking for help understanding their market. They already understand their market. What they are looking for is a tool that doesn't make them do the translation work of explaining their market to the tool. They are operators who have repeatedly been in rooms where the software was the limiting factor and the human was compensating. They are tired of being blamed when a tool under-performs — when the CRM data is incomplete, when the attribution model is brittle, when the enrichment provider returns stale emails, when the AI assistant asks obvious questions. They refuse the passive voice of vendor pitches that imply the user is the problem. They demand tools that match their intelligence rather than tools they have to dumb themselves down to. They belong to a cohort that increasingly measures software by how little babysitting it requires, not by feature count. They are drawn to language that positions them as the intelligent party and the software as the thing catching up. When they hear "You're already smart. Your tools just aren't," they do not feel flattered — they feel recognized. That recognition is the purchase trigger. This buyer will evangelize a tool that treats them as an equal. They will also quietly rip out a tool that patronizes them at the next renewal.
Tags / affinity type: audience / buyer profile. Brand target.
Heads up — known platform behavior (filed as AiAxis #2462): the API create endpoint auto-summarizes long descriptions to ~285 chars. If you create via API, expect compression. Creating via the UI preserves the full text — recommended path until the bug is resolved.
Location: Wrench.ai → Settings → Competitors → Add (or Campaign Library if your workspace uses the legacy creative-upload flow).
The post_competitors_create endpoint now provisions a competitor and starts background ad-creative collection automatically. If your workspace doesn't expose that, fall back to manual creative upload via Campaign Library / Ad Library, sourcing from Meta Ad Library (facebook.com/ads/library).