Hire an AI ad results and creative planner

Everything it can hand back

Your task sets the actual outputs. The specialist picks the methods that cover them.

• A short report with the numbers per ad, three ranked actions and one open worry
• A map of what your ads haven't tried yet, with the five biggest gaps ranked
• A brief for three new ideas with three different versions each
• Opening lines for the new ads, each scored out of 4 with a fix if it's weak

How it does the job well

• Write for one named audience and one action. Each asset has a single job.
• Use the customer's own words from reviews, calls or surveys before inventing language.
• Every claim needs proof the business can show. Leave unproven claims out or mark them.
• Judge results against the business goal, such as profit or qualified leads, not clicks alone.

Mistakes it avoids

• Averaging rates across ads. Add up the totals, then divide.
• Pausing, publishing or spending money without the person's clear yes.
• Generic copy that could fit any brand.
• Comparing periods or campaigns that are not comparable, such as different dates, budgets or tracking.
• Calling a test winner before there is enough data.

What a good result looks like

An example, not your task: A month or a campaign has ended and you need to decide what to make next.

• Ad results report. Numbers worked out from the totals for each ad, what changed, one open worry and three ranked actions.
• Gap map. Every past ad placed by moment, value, buyer knowledge, opening and format, with the five biggest gaps ranked.
• Brief. Three ideas aimed at different buyer doubts, each with three versions that open on different first frames.
• Opening lines. Opening lines for the new ads, each scored out of 4 with a fix if it is weak.
• HAND-BACK SUMMARY. Each step's file, any step not run and why, and every MISSING line in one list.

How the work is checked

• Each step passed its own checks, or the run stopped at the step that failed and says why.
• Every figure, including every group figure, is recomputed from the export, with the sums shown.
• No ad is called a winner without numbers, and running a long time isn't winning.
• The final results use only facts, prices and claims in the export or the brand file.
• States which checks passed, failed or could not run, and names missing inputs.

These checks have not been run against a model yet. Your AI uses them to check its own work.

A second opinion

Before it hands back, your AI reviews the draft the way Eugene Schwartz and John Caples would. This is a way of reviewing the work. It does not mean they wrote or endorse it.

Capabilities

• Works out the numbers. Uses the ad report skill to work out each figure from the totals, then write what changed, one open worry and three ranked actions.
• Finds what you haven't tried. Uses the ad gap map skill to place every past ad by moment, value, buyer knowledge, opening and format, and rank the five biggest gaps.
• Briefs three new ideas. Uses the three-ideas brief skill to grade what your results prove, pick a plan, and aim each idea at a different buyer doubt with three versions.
• Writes the opening lines. Uses the opening lines skill to write openings for the new ideas and score each on four checks plus an honesty gate.

How the role works

1. Checks your task, context and available tools.
2. Picks the methods needed and prepares a work plan.
3. Carries out supported tasks, with each method's limits and review gates.
4. Checks the real deliverables and corrects supported faults.
5. Hands back files, evidence and unresolved gaps.

Your specialist's working setup

Download the base specialist without a task form or account. README.md and SETUP.md explain how to use the folder. SOUL.md defines its scope. INTAKE.md asks missing questions inside your AI. PLAYBOOK.md, SKILLS.md, BEST_PRACTICES.md, CHECKS.md and HANDOFF.md guide the work and its checked deliverables.

Complete associated skills, supporting files and licences are included. Choose only the methods needed for the actual task. Keep context, working files and accepted feedback in your AI project.

Use this specialist through MCP or the API

Call prepare_specialist with role_id know-which-ads-to-make-next only. No task is required to load it. Your AI asks what job you need done, what you want back and which relevant context it can use.

For task-led hiring, call find_specialist, explain the suggested specialists and let the user accept or change the team.

Complete ZIP: Download base specialist. API: GET /api/v1/specialists/know-which-ads-to-make-next/pack. The host AI supplies its own model, tools and execution; a pack does not connect accounts or run a task.

Inputs and helpful context

The specialist starts from the task brief. Only active methods require their inputs.

For the primary method, when used

• Your ad results export, one row per ad with spend, clicks, sales and revenue
• Your brand file, with your buyers, offers and the claims you can make

Helpful context (optional)

• The same export for the period before, so the report can say what changed
• Your store's own revenue for the period, so overall return isn't the ad platform's guess
• Your target cost per sale or return on ad spend, so actions are judged against your line
• A screenshot of each ad's first frame, so the gap map reads the opening and not just the name

Tools and access

• Meta Ads Manager: Exports spend, impressions, clicks, purchases and revenue per ad for the dates you pick.
• Google Sheets: Recomputes cost per sale and return on spend from the export, so you can check every number.
• Claude: Holds the export, the brand file and four steps of work in one run without dropping rows.
• Any good chat AI: Claude, ChatGPT and Gemini all do the sums well when the totals are pasted as a table with clear column names.
• Google Sheets: Keeps both periods side by side, so you can check any number in the report yourself.
• Meta Ads Manager: An export by ad gives the 'measured' grade, with spend and results for each ad over the dates you pick.
• Meta Ad Library: Shows the ads your page runs now, with start dates, when you have no export to work from.
• Google Sheets: Keeps one row per past ad, so each lens and the moments grid are filters you can check.
• Meta Ads Manager: An export by ad for the last 1 to 4 weeks shows spend, purchases and frequency, which pick explore, extend or refresh.
• Meta Ad Library: Shows what runs now, as 'observed' evidence when you have no export.
• Google Sheets: Tracks cost per sale and frequency week by week, so you can see when a winner starts wearing out.
• Any good chat AI: Hooks are short and the checks are plain, so Claude, ChatGPT or Gemini all do this well.
• Meta Ad Library: Shows the ads other brands run now, so you can check a hook isn't one buyers already see everywhere.
• Meta Ads Manager: Exports results for each ad, so score mode can be checked against the openings you ran.

Functions and deliverables

• Ad results and creative planner: Share ad-level results and brand facts. Get checked totals, untested ideas, three creative briefs and scored opening lines.
  • A short report with the numbers per ad, three ranked actions and one open worry
  • A map of what your ads haven't tried yet, with the five biggest gaps ranked
  • A brief for three new ideas with three different versions each
  • Opening lines for the new ads, each scored out of 4 with a fix if it's weak
• Ad results report writer: Paste two periods of ad totals. Get the one-line answer, what changed and three ranked actions.
  • A coverage line saying what the report includes and what's missing
  • The answer in one line, at the top
  • A table of the main numbers, this period against last, with the change
  • Two to four changes that matter, one unresolved worry, and three ranked actions, with budget changes marked for approval
  • Any of its own checks the report still misses, each named
• Untried ad idea finder: Find untried ad ideas for your brand. Paste your past ads and brand file. You get a gap map and five ad ideas, each one a clear test.
  • A record of every past ad, with each result graded measured, reported or seen running
  • Five lenses and a list of your proof, showing what's covered, thin or open
  • The five biggest gaps, ranked, plus the proof worth collecting
  • Five ad ideas, each with its test question, a five-link check, headlines and an opening
  • Any check the map still missed, one line each
• Ad test brief writer: Share brand facts and any ad results. Get three ideas, nine distinct designer briefs and questions to fill key gaps.
  • A header with the evidence grade, the plan chosen and why
  • Three ad ideas, each aimed at a different buyer doubt, with a filled-in thinking block
  • Nine versions with layout, headline, picture and what each one changes
  • A footer listing guesses and the questions to ask the founder
  • Any check the brief still misses, one line each
• Ad opening writer and reviewer: Share your buyer and product facts. Get ten ad openings, or a scored review of your own.
  • In write mode, about ten hooks across the moves your facts allow, at most three per move
  • For each, what backs it, its next line, a short screen version and what a win would tell you, plus what's seen for video
  • In score mode, each hook's four checks, a score out of 4, the honesty gate and a fix for any under 3
  • A list of what it skipped and why, or the buyers your hooks miss
  • A set score out of 100, the points won on the four checks across all hooks, with gate failures counted as zero
• Brand profile builder: Share your website. Get a reusable profile covering your products, customers, voice and approved claims, with sources.
  • A folder of eight plain files, from a start file for your AI to a claims list and a change log
  • A tag on every fact, and every claim marked approved, pending or banned
  • A two-sentence diagnosis of your biggest gap, and a list of what's missing and who can answer it
  • A short slice for your next step, if you name one
• Eugene Schwartz: Match a headline or sales page to what buyers already want and know. Apply Eugene Schwartz’s recorded approach to research, claims and proof.
  • Your problem worked on the way Eugene Schwartz would: their questions, their method, their push-back
  • The answer or the work, in Eugene Schwartz's voice, using their ideas by name
  • Anything that goes beyond their public record, marked
  • One suggested next step
• John Caples: Write headlines and plan a fair ad test through John Caples’s recorded approach. Lead with the reader’s gain and count replies by version.
  • Your problem worked on the way John Caples would: their questions, their method, their push-back
  • The answer or the work, in John Caples's voice, using their ideas by name
  • Anything that goes beyond their public record, marked
  • One suggested next step

Tasks you can use it for

• A month or a campaign has ended and you need to decide what to make next.
• Your results are flat and every new ad looks like the last one.
• You're handing work to a designer or video maker and need a brief they can follow without questions.

Limits to check before starting

• You have a new product with no ad history: use a simple launch brief from your own offer and buyer notes instead.
• You only want to know why sales dropped: use the Ad sales drop analyst.
• You only want a report on your numbers: use the Ad results report writer.

Best way to use this role

Give it one clear outcome, the actual files and a definition of done. Keep the work in one AI project so it can reuse checked context and earlier files.

• Download the handoff pack. It's a zip with HANDOFF.md and every skill file this workflow uses.
• Give the folder to Claude (in Claude Code, or as files in a Claude Project) and say "Follow HANDOFF.md".
• Have your inputs ready. Export your results with one row per ad (spend, impressions, clicks, purchases, revenue, days live and each ad's opening line), plus your brand file. Add the previous period and your targets if you have them.
• It works step by step and saves each result. Read the report's three actions first, then check the gap map before you use the brief.
• Give the brief and the scored opening lines to whoever makes your ads.

Read it as data

Read the complete role setup as JSON. Connect your AI to the AI Blocks MCP library and read aiblocks://roles/know-which-ads-to-make-next for its role instructions and pinned sources.

This is a prepared AI role. No task has run. Your AI carries out authorized work using its available tools and reports the actual deliverables and checks.