FuseEleven @FuseEleven - Twitter Profile

We offered 5 people a Porsche 911 GT3 RS if they could get @WisprFlow to make a mistake It's the fastest and most accurate AI voice dictation app that's 3x more accurate than ChatGPT, Claude, or Siri. Today, we’re finally launching on Android. Download now: https://t.co/TJhnUhDSLv As a part of the launch, we’re giving away 6 months of Wispr Flow Pro for free. Like, retweet and comment ‘Wispr Flow’ to get it. Enjoy. — Written with Wispr Flow

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FuseEleven @FuseEleven

4 months ago

@tankots @WisprFlow Wispr Flow

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FuseEleven retweeted

Edd Chalk

@EddChalk

4 months ago

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.

EddChalk's tweet photo. 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.

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FuseEleven @FuseEleven

4 months ago

@EddChalk CLOUT

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FuseEleven retweeted

Pokemon Deals, Restocks & News

@PokemonTCGIntel

4 months ago

Ascended Heroes ETB Giveaway ✨ With the very anticipated official release of the ETBs, we want to give away one to the community! To enter: ✅Just follow @PokemonTCGIntel ✅Repost and like this tweet Winner announced 2/25! Good luck! #PokemonTCG #Pokemon #Giveaway