@PatrickQJackson Can you point them out? Can’t see them clearly. Pretty sure this was a toad that took out that ballistic missile though, but would be keen to see your usual circles around them so dimwit like me can also see what you’re looking at
My OpenClaw ships banger ad briefs while I sleep.
Production-ready briefs. Scored. Validated through a QA skill tree.
And I am going to show you how to set it up in return for a little bit of clout
Here's what's actually running while I'm asleep.
OpenClaw has a skill graph. Three AI agents connected in sequence — each one feeds the next, and nothing moves forward until it passes.
The first agent is pure research. It's scraping the Meta Ad Library pulling 5–10 active competitor ads, extracting repeating hooks, mapping visual patterns, documenting copy structures, and analysing CTA approaches (offer vs urgency vs curiosity).
At the same time it's running Golden Pain Extraction — pulling verbatim emotional language from Amazon 3-star reviews, Reddit threads, TikTok comments on competitor videos, and customer service logs. Not summaries. Exact words real customers used. Each pain gets tagged and mapped to one of the 8 Life Force drives.
Then it runs an asset audit — lifestyle product shots, founder content, UGC, testimonials, before/afters. Everything gets catalogued.
All of that gets compiled into a research document. Competitor analysis. Golden Pains mapped to LFE8. Dream outcomes. Available assets. Recommended angles.
That document feeds the second agent — the brief writer.
It builds static briefs: 3 copy variations per brief, each with Headline + Subline + CTA. Left side: 3 USPs. Right side: Feature → Benefit mapping x3. Visual direction, do's and don'ts, product URL, primary image, drive assets — all included.
It builds video briefs: 3 hook variations per brief, each broken into Text Hook + Visual Hook + Audio Hook + Why It Works.
Then 3 full timed body scripts — [0–3s] Hook → [3–8s] Setup → [8–15s] Product → [15–18s] Proof → [18–20s] CTA.
The 3-Second Formula is embedded at the writing stage. Second 0–1: Triple Stack (visual hook, text hook, audio hook firing simultaneously). Second 1–3: The Promise. Second 3–5: The Rehook.
If the structure doesn't hit those timings, it doesn't get written.
Every brief then hits the QA agent. This is where most of them die.
Validation checklist: 10 Golden Rules scored out of 10.
Minimum 7 to pass.
Score below 7? It doesn't get sent to me. It gets rejected back to the brief writer with specific fix notes.
Not a soft pass. A directed rewrite. The loop runs until it passes.
Only when a brief clears every node does it hit my Telegram.
6 production-ready briefs. 3 static. 3 video. Validated hooks. Fresh angles built from real market intelligence.
Ready for designer handoff → testing → iteration → scale.
No docs opened. No prompts written. No hours wasted.
I've scaled 50+ brands to 7 and 8 figures at MHI Media.
I mapped the full skill tree — every agent, every node, every framework, every validation gate.
Like + Repost + Comment "CLOUT" and I'll send it over.
(Follow me so I can DM you)
Screenshot not revelant but the last 30 days aint too bad.
🚨EXPOSED: 109s of Premium AI Agents.
If you missed it before, I'll give it again.
Worth $3K+ per build — now FREE for the first 3500.
Inside the file: 👇
→ Booking & outreach automations
→ Scrapers, support agents & more
→ Cold email engines
→ Social listening dashboards
→ Lead gen bots
→ Content pipelines
→ Auto-scheduling assistants
→ AI copywriters
→ Form-to-CRM connectors
→ Data enrichment bots
→ Chatbot funnels
→ Review aggregators
→ Auto-reporting scripts
→ AI-powered survey analysers
$14K+ Agency Clients, closed faster than ever.
Fill it up & GET:
- Comment "File"
- Like & Retweet
- Follow me
@OWilson_bee
to get DM Fast.
- BOOKMARK [Must]
25 hours a week doing work a machine handles in 25 minutes.
Most e-commerce managers are drowning in tabs...
17 tabs. 12 different tools. 3 hours gone before lunch
- Pulling GA reports by hand
- Writing product descriptions one at a time
- Tracking competitor prices in spreadsheets
- Calculating if your tests actually mean anything
These are exactly the problems we saw before building this.
That's why our team spent 3 weeks building this 2026 Techstack:
5 n8n Workflows:
→ AI Product Description Generator
→ Competitive Pricing Monitor
→ AI Product Image Generator
→ MCP Integration Automation
→ Google Analytics Weekly Reporter
3 Analytics & Decision Tools:
→ Looker GA4 Dashboard
→ A/B-Test Significance Calculator
→ A/B-Test Profit Calculator
It will help you get 25+ hours back every week
Want the complete Techstack?
1. Like this post
2. Comment "TECH"
3. Repost for priority access
(Must be following me!)