Wave 3 Launch: New AI Prompt Packs and Industry Insights
Posted: July 10, 2026 Filed under: Personal, smallbizai.au | Tags: artificial-intelligence, openclaw, smallbizai.au, technology Leave a commentWave 3 is live. Seven new prompt packs, eighteen industries in the full catalog now, and a handful of mistakes I had to fix before anything went public. This post covers how I choose industries, how the publishing machine works, what went wrong, and where things go from here.
If you missed the origin story, the first post covers how it went from zero to twelve products. This one picks up from there.
How I pick industries
It starts with Bing AI citation data. Bing’s AI answers pull from specific pages, and I can see which industries are generating citations back to SmallBizAI.au. The question I ask is simple: which industries are already sending people to the site but have no paid pack yet?
From there, it’s a content depth check. Each pack needs 50 real, usable prompts across five sections. That means I need enough posts in that category to actually draw from. If the content base isn’t there, the pack isn’t there. I’m not writing prompts into a vacuum.
Wave 3 industries: construction, financial planners, marketing agencies, HR/people, legal, childcare, and gyms.
Some were obvious. Legal had a full series of posts. The tradies hub already existed and construction was a logical extension. Marketing agencies had strong category depth. Others were less expected. Childcare had quiet but consistent Bing traffic, no pack, and enough underlying content. That was enough. Gyms surprised us too, with a cluster of fitness-related AI posts that had been pulling citations without me paying much attention to them.
The rule: if Bing is already sending people to us for an industry, a paid pack is the logical next step. I’m not guessing at demand. The signal is already there in the citation data. I’m just following it.
The publishing machine
Each pack is 50 prompts, five sections of ten, usually 5,000 to 6,000 words. My AI agent writes the prompts, builds the PDF using Node.js and PDFKit, publishes to Gumroad via CLI, and the listing goes live. Brief to live product, one session. I set the direction; it handles the execution.
The one gotcha worth documenting: Gumroad’s PDF upload has to be a standalone CLI call. Chain it with other flags and you get a silent failure. No error. No upload. The file just doesn’t make it to the product. I caught it mid-Wave 3 when a pack went live without its PDF attached. The fix was straightforward once I understood the problem, but silent failures are the worst kind because there’s nothing to debug. Now every pack follows a strict two-step sequence: upload the file first, then set the product metadata.
Once a pack is live, I add the listing to the /prompt-packs/ page and update the agent’s memory so the next session knows what exists. That last part matters: without it, a fresh session has no idea what’s already been published and will try to rebuild it.
What I broke
Three things went wrong in Wave 3. All fixable. All documented so they don’t happen in Wave 4.
Cover chaos. Wave 1 and Wave 2 had consistent covers: AI-generated icons from Replicate, composited with Pillow text overlays. Wave 3 was accidentally built using pure Pillow flat geometry. Completely different visual style. It showed up immediately when reviewing the full product lineup the Wave 3 covers looked like they belonged to a different product entirely. I rebuilt all seven Wave 3 covers from scratch using the correct Replicate + Pillow composite pipeline.
The resize problem fed directly into this. Replicate’s Flux Schnell returns a 1024×1024 image regardless of what dimensions you request. After download, you have to .resize((1280,720)). I missed that step. Every cover came out square. Between the wrong style and the wrong dimensions, all seven needed a full redo. That’s a solid hour of work that shouldn’t have been necessary.
The real estate holdover. The first Wave 3 pack was real estate which had a photorealistic phone mockup bleeding through the left panel of the cover image. Replicate hallucinated it into the background. I only spotted it during a full 21-product review at the end of Wave 3. It had been live for a few days. The lesson here is clear: QA every product image after a batch run. Not a spot check. Every one. A cover that looks fine in isolation can look wrong the moment you put it next to twenty others and something stands out.
Grid append bug. When adding new product cards to a WordPress page, we used a regex match on </div> to find the insertion point. It matched the wrong closing tag. Cards landed outside the grid div and the layout broke. The fix: stop appending entirely. Now we do a full page rebuild with all products hardcoded in one shot. Appending product cards via regex is gone from the workflow. It was always fragile; Wave 3 just proved it.
The upsell layer and what comes next
Every pack has a shortcode injected into related posts on the site, roughly 205 posts. The logic is simple: someone reads “AI prompts for tradies” and sees the Tradies pack in the post footer. No separate campaign needed. The traffic does the work.
On the purchase side, Gumroad feeds into our newsletter list via MailerLite. Every purchase triggers a webhook, the buyer gets added to the right MailerLite group, and a welcome email sequence kicks off. Once the webhook is configured per pack, it runs without me touching it.
Wave 4 is already defined. It’s not another prompt pack. It’s “Beyond Prompting”, an ebook for Australian SMB owners who want to build their first AI agent team. 40 to 60 pages, AU$29 to AU$49, PDF format. The prompt packs are a starting point. This is for people who’ve worked through them and want to go further. There isn’t anything like this.
The bigger picture: 21 products starting at AU$9 each, across 18 industries. Each new pack generates a related series post. That post generates Bing citations. Those citations drive traffic back to the pack. Everything reinforces everything else. The flywheel is running, and Wave 4 moves into a higher price tier.
More to come.
All prompt packs are at SmallBizAI.au/prompt-packs/
frankarr 