Balbuena

Marketing

[Balbuena @fernandobalbs]

@kasramoradi Affiliate

[Balbuena @fernandobalbs]

@blvckledge Demand

[Balbuena @fernandobalbs]

@adamtaylorl Opus

[Balbuena @fernandobalbs]

@paramountplusbr que lixo de transmissao, obrigado por acabar com a experiência dos fas de UFC 🤙

[Balbuena @fernandobalbs]

@mikefutia BULK

[Balbuena @fernandobalbs]

@livsporter @messimessiz @instagram opa td bem? como vc chegou nesse chat com o suporte? era conta verificada?

[Balbuena @fernandobalbs]

@selinaai_ nano

[Balbuena @fernandobalbs]

@EddChalk clout

[Balbuena @fernandobalbs]

@EddChalk Just did it

[Balbuena @fernandobalbs]

@Nishan_011 Nano

[Balbuena @fernandobalbs]

@maria_wats8492 FLOW

[Edd Chalk @EddChalk]

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.

[Selina @selinaai_]

Nano Banana + N8N = Your AI Creative Engine

This AI workflow produces scroll-stopping visuals at scale using Google’s latest image model.

No in-house designers. No agencies. No massive $50K creative budgets.

Just nonstop, professional-level ads that look like they came from a top-tier brand.

Here’s how it works:
→ Upload your product catalog into Airtable
→ N8N automation pulls product details and images
→ Nano Banana generates multiple creative concepts for each product
→ The system automatically creates different backgrounds, styles, and layouts
→ Every variation is organized in Airtable with performance tracking built in

Each visual costs pennies to produce.
You retain 100% ownership of every asset.
Runs 24/7 on autopilot.

While competitors spend hours in Photoshop or pay agencies thousands each month, you’ll be producing unlimited variations automatically.

Consistent branding across every creative.

Built entirely inside N8N.

Want the full workflow?
Comment “NANO” + RT + Like

I’ll DM you the complete N8N template + Airtable setup
(Following required so I can DM)

Ignore this and keep paying designers $200 per ad variation.

[Balbuena @fernandobalbs]

@selinaai_ NANO

[Balbuena @fernandobalbs]

@cuticuladepeixe @osmarRjunior @Fred71935470 @ZattarRafael @Rodrigol_p5 Vira homem e vai trabalhar, vagabundo. Se você não tem capacidade pra prover pra si mesmo e pra sua família, não vem querer tirar de quem sabe cuidar dos seus.

[Call @evildebs]

@jonnyken @GugaNoblat o unico mongol que quebraria a perna num buraco desses

[Balbuena @fernandobalbs]

@R38TAO Tu ta chato hein

[Balbuena @fernandobalbs]

@GentilCariocaRJ @VanceEquities @tabataamaralsp E independente que o total nesse modelo não seja 30%, no fim, todo mundo ta pagando imposto pra caralho.

Principalmente a galera que paga sobre o faturamento e mal tem margem no negocio

[Balbuena @fernandobalbs]

@GentilCariocaRJ @VanceEquities @tabataamaralsp O que ela quis dizer é que se a empresa já paga 30% no lucro, a cada 100,00 sobra 70.

Se distribuir os 70 e pagar 20% sobre os 70, ja sobra 56,00

44%, ou seja, “quase 50%”. É conta de padaria, mas se você não for burro você entende.