Jeff Bullas

Nice — that 5-minute lightning burst is a powerful pry bar for workshop inertia. Small ritual, big results. I’d add a few practical tweaks so the AI output is faster to act on and less noisy.

What you’ll need (extra)

• Same basics you listed + two prompt templates (idea burst and expansion)
• Sticky-note app or shared doc for anonymous scoring
• Pre-set constraint list (budget, timeline, platform) to paste into prompts

Step-by-step — tweak to get testable ideas faster

1. Clarify: 3 min — facilitator reads problem (1 sentence) and 2 constraints aloud.
2. Lightning burst: 5 min — run the AI prompt that forces 20 one-line ideas with a 30-day test action (copy-paste prompt below). Expect 20 usable seeds.
3. Quick flag: 3 min — everybody marks 3 favorites silently (emoji or dot vote).
4. Pair expand: 12–15 min — pairs pick one flagged idea and run the AI expansion prompt to create a one-paragraph concept, a single measurable metric, and a 7-day test plan.
5. Score & select: 10 min — anonymous scoring (feasibility, impact, speed). Top 2 advance.
6. Owner & Day 1: 5 min — assign owners and a single Day-1 action (what they’ll do in 60–90 minutes after the session).

Copy-paste AI prompt — idea burst (use as-is)

“Generate 20 short, distinct one-line ideas that address [ONE-SENTENCE PROBLEM]. For each idea include: a one-line description, the core user benefit, and one simple 7-day test anyone can run within a $500 budget. Number them 1–20.”

Copy-paste AI prompt — expand (use as-is)

“Expand idea #[NUMBER] into a one-paragraph concept for [customer persona]. Include: the problem it solves, the primary user benefit (one sentence), one clear metric to track in 7 days, and a 3-step minimum viable test plan with estimated time and cost for each step.”

Example (quick)

Problem: “Local cafe needs more weekday lunchtime footfall from remote workers.” Use the idea-burst prompt and you’ll get 20 ideas like a coworking lunchtime pass with ordering queue — then expand the chosen idea into a 7-day test: 20 promo emails to local co-working groups + a reserved table offer and track bookings.

Common mistakes & fixes

• Mistake: Ideas are inspirational but not testable. Fix: Force a 7-day test and a $ limit in the prompt.
• Mistake: Overlong expansion. Fix: Require a one-paragraph concept and a 3-step test.
• Mistake: No ownership. Fix: assign Day-1 actions and a 7-day check-in during the session.

7-day action plan (easy)

1. Day 1: Owner refines test plan with AI and schedules Day-2 action.
2. Day 2–6: Run test, collect the single metric daily.
3. Day 7: 15-minute review; decide scale/iterate/kill and set the next 7-day sprint.

Keep it ritualistic: the faster you run the burst → pick → test loop, the quicker AI becomes a dependable ideation partner rather than a creative toy.

Nice and practical—your ‘short rulebook’ idea is perfect. Here’s a simple, no-tech add-on that turns that framework into a one-page, usable brand voice guide you can actually hand to anyone.

What you’ll need

• 3–5 examples you like and 1–2 you don’t (short snippets)
• A one-line audience description (who, goal or problem)
• 3–5 voice words (e.g., warm, straightforward, confident)
• 30–60 minutes to draft, 15 minutes to test

Step-by-step (do this in one focused hour)

1. Write a one-sentence audience line: who they are and what they want.
2. Pick 3 voice words. Keep them simple and actionable.
3. Ask AI to create a 2–3 sentence voice statement from those words. Edit until it sounds like you.
4. Create 4 dos and 4 don’ts. Make each specific (e.g., Do: use 12–15 word sentences. Don’t: use industry acronyms).
5. Produce 3 templates: a social post starter, an email opener, a headline. Run AI for quick variations and pick the best.
6. Print the one-pager and use it for a week. Collect one quick note from anyone who writes for you and tweak.

Copy-paste AI prompt (use as-is)

“You are a professional copywriter. Create a one-paragraph brand voice statement (2–3 sentences) for a small business whose audience is: [insert audience line]. Voice words: [insert 3 words]. Include 4 practical dos and 4 don’ts and provide 3 short examples: a social post opener (max 20 words), an email opener (max 25 words), and a headline (max 8 words). Keep language simple, friendly, and helpful.”

Quick prompt variants

• Rewrite a single sentence in this voice: “Rewrite: [paste sentence]. Tone: warm, direct, expert. Keep under 20 words.”
• Generate 5 social post starters in the voice: “Audience: [audience]. Voice words: [3 words]. Give 5 starters, each 12–18 words.”

Example (short)

Voice statement example: “We explain tech simply so busy adults can get things done without frustration. Friendly, clear, confident.”

Common mistakes & fixes

• Mistake: too many vague adjectives. Fix: pick 3 and turn each into a behavior (e.g., “warm” = “use friendly questions”).
• Mistake: long rules. Fix: keep dos/don’ts to one-line actions someone can follow.
• Mistake: full reliance on AI. Fix: always human-edit one chosen example before publishing.

Simple action plan (this week)

1. Day 1 (30–60 min): Gather samples, pick audience line and 3 words, run the main prompt above.
2. Day 2 (15–30 min): Edit the one-pager, create 3 templates, hand to a teammate or friend for a test write.
3. Day 7 (15 min): Collect feedback, tweak wording, store the guide where writers can find it.

Small, fast steps win. Create the one-page guide, use it, fix it—AI speeds choices, but your edits make the voice yours.

Good point — asking whether AI can turn long-form content into monetizable short clips is exactly the right starting question. It’s practical, outcome-focused, and ready for a do-first approach.

Short answer: Yes. AI can speed up research, scriptwriting, captioning and even suggest edits that convert long-form into short, monetizable clips. But you still need human judgment for hooks, brand voice and distribution.

What you’ll need

• Source: long-form article, podcast transcript, or full video.
• AI writing tool (ChatGPT or similar) for script generation.
• Transcript tool (auto-transcription) or the original text.
• Mobile editing app or desktop editor to cut, caption and format clips.
• Thumbnail editor and scheduler for posting.

Step-by-step (fast path)

1. Choose the best long-form asset (highest value/engagement potential).
2. Generate a clean transcript if you don’t have one.
3. Ask AI to extract 5 strong moments — hook, one-liner, or surprising stat.
4. Use AI to write 30–60s scripts with a 3-second hook and CTA.
5. Record or clip the original video/audio to match the script.
6. Edit for platform specs (vertical, subtitles, thumbnails).
7. Post, boost best-performing clip, and iterate based on metrics.

Copy-paste AI prompt (use this in your AI tool)

Take the following article/transcript (paste below). Create five short video scripts for 45–60 second clips optimized for Instagram Reels, TikTok, and YouTube Shorts. For each script include: 1) a 3-second hook, 2) three concise points, 3) a clear call-to-action, 4) suggested on-screen captions/keywords, and 5) a thumbnail idea. Keep language direct, second person, and friendly. Number each script.

Worked example

Source: 1,200-word blog on “5 ways to get more leads.” AI extracts: surprising stat about conversion rates, quick tip on CTA placement, and a micro-case study. It produces five scripts—one focusing on the stat as a hook, another on a step-by-step checklist. You edit the best two, add captions, and post. Within a week one clip drives sign-ups.

Do / Do not checklist

• Do: Prioritize strong hooks, caption everything, and test different thumbnails.
• Don’t: Turn every paragraph into a clip — focus on moments with emotional or practical payoff.
• Do: Use data to pick winners and reformat top performers into new variations.
• Don’t: Skip platform specs — each network rewards native formatting.

Mistakes & fixes

• Weak hook → Fix: Lead with surprise, question or bold promise in first 3 seconds.
• No captions → Fix: Auto-generate and edit for readability.
• Too long → Fix: Cut to one idea per clip and tighten language.

7-day action plan

1. Day 1: Pick content + create transcript.
2. Day 2: AI generates 5 scripts; you pick 2–3 to test.
3. Day 3: Record or chop video to match scripts.
4. Day 4: Edit, add captions and thumbnails.
5. Day 5: Publish and promote organically.
6. Day 6: Boost the top performer with a small budget.
7. Day 7: Review metrics and repeat.

Closing reminder: Treat AI as a productivity multiplier — it speeds work but your judgement makes it monetizable. Start small, measure, and scale the clips that earn attention and conversions.

Nice focus on practical, non-technical AI for SEO — that’s the right starting point. Below is a simple, step-by-step playbook you can use today to find keywords and create content briefs with AI, even if you’re not technical.

Why this works: AI helps speed up the repetitive parts of keyword research and turns findings into a usable content brief. You get smart suggestions, minus the jargon.

What you’ll need:

• A modern AI chat tool (ChatGPT, Claude, or similar) with access to the web or your research notes.
• A spreadsheet or simple list (Google Sheets or Excel) to capture keywords and metrics.
• A short description of the topic or page you want to rank for.

Step-by-step: Quick wins in 30–60 minutes

1. Give the AI a clear topic: One sentence is enough. Example: “Small business bookkeeping software comparison.”
2. Ask for keyword ideas: Use the prompt below to generate seed keywords and long-tail phrases. Capture the list in your spreadsheet.
3. Filter and prioritize: Ask the AI to score keywords by search intent (informational, commercial, transactional) and ease of ranking (low/medium/high).
4. Create content brief: Feed your chosen keyword and ask the AI to create a brief with title, H2s, word count, meta description, and suggested internal links.
5. Human edit & publish: Edit the brief for brand voice, check facts, and create the content. Use the brief as your writer’s checklist.

Copy-paste AI prompt (use as your first prompt):

“I want keyword ideas and a content brief for: [TOPIC]. Please provide: 1) 20 keyword ideas including long-tail phrases, 2) search intent for each, 3) a simple difficulty estimate (low/medium/high), and 4) a content brief for the top keyword including suggested title, 5–7 H2 headings, approximate word count, meta description, and 3 internal link suggestions. Keep language simple and practical.”

Prompt variants:

• For local intent: add “focus on [city/region]” to the prompt.
• For product pages: add “include buyer-focused phrases and FAQs.”
• For blog posts: add “include examples, case study ideas, and content upgrades.”

Example: If your topic is “vegan meal prep for beginners,” you’ll get long-tail phrases like “easy vegan meal prep for work,” intent labels, and a brief with H2s such as “5 meal ideas,” “shopping list,” and “how to store meals.”

Common mistakes & fixes:

• Relying on AI alone — Fix: Always human-edit for accuracy and brand voice.
• Too broad prompts — Fix: Add context like target audience or location.
• Ignoring intent — Fix: Prioritize keywords with clear intent matches to your business goal.

Action plan (next 48 hours):

1. Pick one evergreen topic you want to rank for.
2. Run the copy-paste prompt above and capture results in a sheet.
3. Create one content brief, write or assign the piece, and publish.

Closing reminder: Start small, measure clicks and engagement, then iterate. AI speeds things up — but your judgement makes it work.

You nailed the core: short, timed runs with time-stamped feedback and one fix per round. Let’s add a pro-level layer — a “beat map” and pacing track — so your timing becomes predictable, repeatable, and calm under pressure.

Why this helps

Most slips come from pace and breath, not content. A beat map turns your talk into timed chunks with cues to pause, punch, and move on. It gives you rhythm you can trust, even when nerves kick in.

What you’ll need

• Phone or laptop with mic and a simple recorder.
• Your script or bullets (60–180 seconds).
• A timer you can see while speaking.
• Optional: headphones for practicing with an audio pacing track.

Build a timing coach in 5 steps (20 minutes)

1. Calibrate your speaking speed (3–4 min)Read your script for 60 seconds. Paste that transcript into your AI and ask it to estimate your words per minute (WPM) and suggest a target WPM for your audience. Expect: a number (e.g., 135 WPM) and a suggested target (e.g., 120 WPM for clarity).
2. Create your beat map (5 min)Ask the AI to divide your talk into time blocks that add up to your target length. Use a simple ratio: Opening 15%, Core 70%, Close 15%. Each block gets a purpose, cue words, and a planned pause (in seconds). Expect: a second-by-second outline with [PAUSE] and [EMPH] markers.
3. Generate a pacing track (3–4 min)If your AI can produce audio, ask for a soft “tick” or spoken cues at key seconds (start, beat changes, close). If not, get a labeled second-by-second list you can glance at. Expect: “00s open; 12s shift to point 1; 45s shift to point 2; 78s close.”
4. Run a timed rehearsal (3–5 min)Record once using the beat map. Follow the cues, don’t chase perfection. Expect: small drift from plan — that’s the data you need.
5. Get surgical feedback (4–6 min)Send the audio or transcript. Ask for: 1) timestamps where you ran long/short vs the map, 2) two strengths, 3) two tiny delivery tweaks for the next run, and 4) one measurable goal (e.g., hit 90s ±3s, ≤3 fillers).

Copy-paste prompts (use as-is)

Calibration + Beat Map

“Here’s a 60-second excerpt from my talk: [PASTE TEXT]. 1) Estimate my words per minute. 2) Suggest a target WPM for a non-technical audience. 3) I have [TARGET LENGTH, e.g., 90 seconds]. Create a beat map using Opening 15%, Core 70%, Close 15%. For each beat, provide: start time, end time, purpose, a one-sentence cue, and any [PAUSE Xs] or [EMPH WORDS]. Keep it concise and timed in seconds.”

Pacing Track + Practice Cues

“Using the beat map above, create a pacing track script with second-by-second cues I can follow while practicing. Format: 00s Start; 12s Shift to Point 1; 45s Shift to Point 2; 78s Close; include where to [PAUSE 1.5s] and [EMPH]. Keep it to essential cues only.”

Timed Feedback Request

“I recorded a [LENGTH] run. Transcript/audio provided. Compare it to the beat map and give: 1) timestamps where I drifted (late/early by ≥2s) with a fix, 2) two strengths, 3) two specific delivery tweaks for my next run, and 4) one measurable goal (e.g., ≤3 fillers, hit 90s ±3s). Keep it short and practical.”

Worked example (90 seconds)

• Beat map you should see: 0–12s Opening (hook + [PAUSE 1.5s]); 12–45s Point 1 (benefit + example); 45–78s Point 2 (proof + number); 78–90s Close (call to action + [PAUSE 2s]).
• Example AI cue list: 00s steady start; 05s [EMPH “one change”]; 12s shift to Point 1; 30s [PAUSE 1s] before the example; 45s shift to Point 2; 70s [EMPH the number]; 78s move to Close; 88s [PAUSE 1s] then final line.
• What you’ll notice: fewer rushes, cleaner transitions, and a closing line that lands because you protected time for it.

Insider upgrades (pick one per day)

• Stoplight budgeting: Color-code your time: Green (first 60%), Yellow (next 25%), Red (final 15%). Tell AI to flag any sentence creeping into Red.
• Filler scoreboard: Ask AI to count “um/uh/like” and suggest one swap phrase (e.g., “let’s pause here”). Aim to halve the count next run.
• Clarity trims: Ask for a 10% word cut that preserves meaning. Fewer words = easier timing.
• Version squeeze: Practice the same talk at 120s, 90s, and 60s. Ask AI to create a nested outline so you can drop lines without losing the point.

Common mistakes & fast fixes

• Over-scripting delivery: Mark pauses and emphasis, not every breath. Fix: two [EMPH] words per sentence max.
• Rushing the open: Adrenaline spikes early. Fix: mandatory 1–2s pause after the first sentence.
• Late close: No time left for the ask. Fix: Protect the last 12s in your beat map; stop mid-sentence if needed and land the close.
• Changing too much at once: Fix: one delivery tweak per run, one clarity tweak in a separate run.

7-day micro-plan (10–20 min/day)

1. Day 1: Calibrate WPM, build beat map, one recorded run.
2. Day 2: Add pacing track cues, two runs, focus on opening pause.
3. Day 3: Clarity trims (cut 10% words), one run, measure drift vs map.
4. Day 4: Emphasis practice (two words per sentence), one run.
5. Day 5: Squeeze version: do 90s then 60s using nested outline.
6. Day 6: Video run to check posture and eye contact; ask AI for one body-language cue to add.
7. Day 7: Full simulation, final tweaks, set two KPIs for the real talk (time ±3s, ≤3 fillers).

What to expect

Within three cycles, timing stabilizes and your open/close land cleanly. By the end of the week, you’ll sound measured, confident, and unhurried — because you’re following a map, not winging it.

Your next step: build the beat map today, run one timed rehearsal, and ask for drift fixes. Small, repeatable wins — that’s how pros practice.

Spot on: your 15–25 minute flow and the nudge loop are exactly what makes this stick. Let’s add one tiny asset and two prompts that eliminate most owner/date ambiguity so actions actually ship.

The upgrade in one sentence: a 3-field People Dictionary + a normalization prompt that turns “ASAP/this week” into real dates in the right time zones — and assigns a default owner when nobody is named.

People Dictionary you can copy now (3 fields)

• handle: the @name that appears in chat (e.g., @sam, @mike).
• full_name: canonical name (e.g., Samantha Lee).
• timezone: IANA format (e.g., America/Chicago, Europe/London).

• Example rows (paste into a spreadsheet):
• handle: @sam — full_name: Samantha Lee — timezone: America/Chicago
• handle: @mike — full_name: Michael Chen — timezone: Europe/London
• handle: @rachel — full_name: Rachel Ortiz — timezone: America/Los_Angeles

• Optional add-ons (when you’re ready): work_hours_local (e.g., 9:00–17:00), role (e.g., PM, Design), aliases (e.g., Sam, Sammy).

What you’ll need

• Your 24–72 hour chat export (keep short context lines; drop memes/images).
• Any text-capable AI.
• The People Dictionary above.
• One reviewer with a 24-hour validation SLA and a place to publish the list.

How to run it — simple steps

1. Build the dictionary (5 minutes): add active names only; use IANA time zones. If someone has two handles, add both rows pointing to the same full_name.
2. Pass 1 — Extract: feed the chat to AI with the extraction prompt below. Keep actions short and require a supporting quote.
3. Pass 2 — Normalize: paste your People Dictionary and run the normalization prompt to resolve owners, convert vague timeframes to real dates in each owner’s time zone, and tag priority.
4. Publish + Nudge: post a one-paragraph summary and a simple Action → Owner → Due table; send short DMs for High or overdue items.

Copy-paste prompts

• Pass 1 — Extraction (JSON only) “Read the chat transcript. Extract every explicit or implied action item. Return a JSON array with fields: action (12 words max), suggested_owner (name/handle or ‘Unassigned’), due_phrase (verbatim from chat if present), confidence (High/Medium/Low), supporting_quote (exact message), type (‘Action’ or ‘Decision’ or ‘Question’). Also return a separate list of open questions. Return JSON only, no commentary.”

• Pass 2 — Normalization (paste your People Dictionary under PEOPLE_DICTIONARY) “Normalize the previous JSON using PEOPLE_DICTIONARY. Tasks: (1) Resolve suggested_owner to full_name via handle/name match; if none, set owner to DEFAULT_OWNER (‘[paste name]’) and set assumed_owner = true. (2) Convert due_phrase to due_date in the owner’s timezone using these rules: ‘today/EOD/COB’ = today 5pm local; ‘tomorrow’ = next business day 5pm; ‘this week’ = Friday 5pm; ‘next week’ = next Wednesday 5pm; ‘ASAP’ = two business days 5pm; weekday names refer to the next occurrence 5pm; explicit times use owner’s timezone. (3) Keep action text ≤12 words; trim fluff. (4) Deduplicate near-identical actions; merge quotes. (5) Set priority: High if due within 48 hours or unblocks others; else Medium; Low if no due and nice-to-have. (6) Keep type tags; don’t list Decisions as actions. Output JSON only with: action, owner, due_date (YYYY-MM-DD), priority (High/Medium/Low), confidence, type, quotes (array), assumed_owner (true/false).”

Quick example

• From chat: “@mike can you send the draft to Lisa this week?”
• Normalized output: Action: “Send draft to Lisa”, Owner: Michael Chen, Due: Friday 17:00 local, Priority: Medium, Confidence: Medium.
• Publish line (CSV style): Send draft to Lisa — Michael Chen — 2025-03-28 — Medium

Insider tricks that raise accuracy

• Verb filter: only treat lines with clear verbs (send, draft, review, approve, schedule, follow up, decide, confirm) as actions; others become notes or questions.
• Default-owner rule: if no one is named, assign DEFAULT_OWNER and flag assumed_owner = true so the reviewer confirms.
• 5pm rule: always land vague timeframes at 5pm local to avoid “floating” due dates.
• Pin and freeze weekly: pin the weekly table; start a new one each week to avoid endless edits.

Common mistakes & fast fixes

• “We” or “someone” owns it → Apply the default-owner rule; reviewer confirms or reassigns.
• Time zone confusion → Always convert due dates in the owner’s time zone and include the date, not just “tomorrow.”
• Too many false positives → Enforce the verb filter and keep actions ≤12 words with a quote.
• Decisions mixed into tasks → Keep type tags; publish decisions as a separate mini-list.

30-minute pilot plan

1. Build the 3-field People Dictionary (10 minutes).
2. Run Pass 1 extraction on the last 24 hours (5–7 minutes).
3. Run Pass 2 normalization with DEFAULT_OWNER and publish the table (8–10 minutes).
4. Send nudges for High/overdue items (3–5 minutes). Pin the post.

What good looks like by week two

• Under 20% reviewer corrections.
• 80%+ on-time completion.
• Fewer “who’s got this?” messages; one pinned list everyone trusts.

Answering your question: yes — the 3-field set above is all you need to start. If you add one more later, make it work_hours_local (e.g., 9:00–17:00) so due times land inside business hours.

Bottom line: keep the extraction short, normalize owners and dates with the People Dictionary, and publish a simple table. Do this twice and your chat turns into clear, owned actions — without adding new tools or meetings.

Quick win: Use short, timed runs + targeted AI feedback to turn vague comments into clear, fixable improvements — in 15 minutes.

Why this works

Timed practice forces constraints. AI gives specific, time-stamped notes you can apply immediately. Do small, focused repeats and you’ll improve pacing, clarity and confidence faster than endless rehearsing.

What you’ll need

• A phone or laptop with a microphone and a simple recorder (video or audio).
• A 60–180 second script or bullet outline.
• A timer and a quiet corner for 10–20 minutes.
• An AI assistant that can accept audio or a transcript (or paste your transcript if audio isn’t supported).

15-minute step-by-step routine

1. Warm up (1–2 minutes): breathe, hum, read one line out loud.
2. Set one target (30 seconds): e.g., “90 seconds, reduce fillers, stronger opening.”
3. Record a timed run (60–180 seconds): speak straight through. Note the time and any spots you felt unsure.
4. Ask the AI for feedback (4–6 minutes): paste transcript or upload audio and request time-stamped pacing notes, two strengths, and two specific fixes.
5. Apply one fix and re-run (3–5 minutes): record again, same length target.
6. Compare results (1–2 minutes): check time, count fillers, note one audible improvement.

Copy-paste AI prompt (drop this straight into your assistant)

“I recorded a 90-second presentation for a non-technical team. Here is the transcript: [PASTE TRANSCRIPT] (or I uploaded an audio file). Give me: 1) time-stamped notes for when to speed up, slow down or pause (use seconds), 2) two clear strengths, 3) two specific, actionable fixes I can try in my next 90-second run, and 4) one measurable goal to check (e.g., reduce filler words to fewer than 3, add a 2-second pause after the opening sentence). Keep it short and practical.”

Variants you can paste

• Clarity edit: “Flag any jargon or unclear sentences and suggest plain-language swaps (one-sentence rewrites).”
• Delivery edit: “Give exact moments (seconds) to emphasize or pause, and suggest vocal cues like ‘slower’ or ‘lift pitch’.”
• Q&A prep: “Generate three likely audience questions and model 30–45 second answers I can rehearse.”

Common mistakes & quick fixes

• Rushing: add a 1–2 second pause after the opening line.
• Monotone: mark two words to emphasize in each sentence.
• Fillers: count “um/uh/like”; aim to halve them this run.

7-day action plan (fast)

1. Day 1–2: Do 3 short runs focusing on timing.
2. Day 3–4: Add clarity edits from AI and cut jargon.
3. Day 5–6: Work delivery fixes (pauses, emphasis) and record video once.
4. Day 7: Simulate the real talk once, timed, and use AI for final tweaks.

Final reminder

Keep runs short, feedback actionable, and focus on one fix at a time. Small, repeatable wins build real confidence — not perfection in one go.

Quick win: In under 5 minutes, paste this AI prompt (below) with your one-line product brief and get 6 headline + 6 CTA options. Swap them into your existing banner and you’ve got 6 live variants.

Hero banners are your store window online. Small lifts in headline or image often move the needle on clicks and conversions. The trick is to generate lots of ideas quickly, then constrain them with simple rules and fast tests.

What you’ll need

• Brand kit: logo, font names, color hexes
• One-line product brief and 3 seed headlines
• Spreadsheet (CSV) with columns: id, headline, subhead, CTA, image_tag, tone
• AI copy tool (ChatGPT or similar) and image source (stock or AI generator)
• Design template in Canva/Figma/CMS set for batch import
• Simple analytics: event for hero clicks, variant ID tracking

Step-by-step

1. Create a master template: fixed logo, headline area, CTA, constrained image crop. Save it.
2. Run the AI headline prompt (copy-paste below) to generate 30–60 headlines, subheads and CTAs. Paste into your CSV.
3. Pick/generate 8–12 images and tag each (product, lifestyle, abstract).
4. Build pairings in the CSV: start with 5 headlines × 5 images = 25 variants. Name them hero_v01_head03_img02.
5. Bulk import into your design tool, auto-populate the template and export web-optimized files with alt text.
6. Upload to your A/B or multivariate tester. Run batches of 10–30 variants. Ensure each variant ID fires an analytics event on click.
7. Monitor CTR and landing CVR. Pause poor performers early; double down on top 3 and iterate new variants from those winners.

Example CSV row (one line)

hero_v01,Save 20% on Annual Plans,Simple security for small teams,Get started,product,confident

Common mistakes & fixes

• Too many live variants — test in batches of 10–30 so results are interpretable.
• Image-text mismatch — only pair copy with tagged images that match the descriptor.
• Brand drift from AI — add a one-line brand rule and a mandatory human review before going live.

Copy-paste AI prompt (use this)

“You are a concise marketing copywriter. Product: [one-line product brief]. Audience: [who]. Key benefit: [single sentence]. Tone: [friendly/urgent/confident]. Generate 6 headline variations (6–9 words), 6 short subheads (10–15 words), 6 CTAs (1–3 words). For each headline include a mobile-optimized shorter version (3–5 words). Keep brand-safe language and avoid jargon. Output as a simple list.”

5-day action plan

1. Day 1: Gather assets, write one-line brief, run prompt for 50 options.
2. Day 2: Pick/generate 10 images, tag them; build master template.
3. Day 3: Create 25 variants, import, export and launch test batch.
4. Days 4–5: Monitor, pause losers, scale winners, create next 25 based on learnings.

Start small, measure fast, and iterate. Generate liberally, constrain ruthlessly — that balance will turn ideas into consistent wins.