Lucas Franco

@blvckledge Gmc

put together a checklist on the GMC setup & optimization we use at the agency thought it’d help yous maximize your shopping ads & pmax performance → feed setup → shipping & returns config → diagnostics for disapprovals & warnings → plus many other settings to boost your ctr we’ve run this across hundreds of accounts. def one of the biggest drivers behind our results like + reply "gmc" and i'll dm it over (must be following)

@ant0ni0_r0mer0 PROMPT

RIP manual product feed optimization 😱 Sonnet 4.6 automates Google Merchant Center , here’s how 👇 Most eCom brands are still: → Writing generic titles that kill CTR → Guessing attributes → Watching CPCs rise with no clue why We tested a smarter AI-driven feed workflow. Results across multiple 7 figure stores: → 2.5x clicks → 30% CTR → Lower CPCs (without touching bids) The secret isn’t “using AI.” It’s knowing exactly how to prompt it for product data. I documented: → The exact title prompts → Feed structure templates → Before/after examples Want it for free? → Like this post → Comment “PROMPT” below I’ll DM it your way. P.S. Repost for priority access ♻️

I..just..,cant…stop

@moritzkremb @grok give me the steps from the video

My OpenClaw "no-AI-slop" video content system It helps me: - find ideas - do research - plan my content - write my scripts - schedule my content - look at content analytics - feed it back to self improve over time ...saving me 12h+ every week Full breakdown & tutorial:

your support queue is your best product research tool. stop treating it like a cost center

How to wake up earlier in 2026: Before bed, create a new branch with a crazy idea, hand it to codex and go to sleep

the next wave in mobile commerce isn't better recommendations. it's ai agents that shop for you. we're already seeing users delegate repeat grocery orders to simple automations that learn preferences over time. instacart and amazon are both building agent interfaces that skip the browse entirely. if your app can't serve an ai agent as a customer, you'll lose the human behind it.

i can't believe nobody caught this. Anthropic's entire growth marketing team was just ONE PERSON (for 10 months, confirmed) a single non-technical person ran paid search, paid social, app stores, email marketing, and SEO for the $380B company behind claude here's exactly how one human is doing the job of a full marketing team: it starts with a CSV. 1. he exports all his existing ads from his ad platforms along with their performance metrics (click-through rates, conversions, spend, etc) 2. feeds the whole file into claude code 3. and tells it to find what's underperforming. claude analyzes the data, flags the weak ads, and generates new copy variations on the spot this is where he gets clever: he then splits the work into 2 specialized sub-agents: 1. one that only writes headlines (capped at 30 characters) 2. and one that only writes descriptions (capped at 90 characters). each agent is tuned to its specific constraint so the quality is way higher than cramming both into a single prompt so now he's got hundreds of fresh headlines and descriptions. but that's just the text. he still needs the actual visual ad creative, the images and banners that go on facebook, google, etc. so he built a figma plugin that: 1. takes all those new headlines and descriptions 2. finds the ad templates in his figma files 3. and automatically swaps the copy into each one. up to 100 ready-to-publish ad variations generated at half a second per batch. what used to take hours of duplicating frames and copy-pasting text by hand so now the ads are live. the next question is which ones are actually working. for that he built an MCP server (basically a custom integration that lets claude talk directly to external tools) connected to the meta ads API. so he can ask claude things like: • "which ads had the best conversion rate this week" • or "where am i wasting spend" and get real answers from live campaign data without ever opening the meta ads dashboard and the part that ties it all together and closes the loop: he set up a memory system that logs every hypothesis and experiment result across ad iterations. so when he goes back to step one and generates the next batch of variations... claude automatically pulls in what worked and what didn't from all previous rounds. the system literally gets smarter every cycle. that kind of systematic experimentation across hundreds of ads would normally need a dedicated analytics person just to track the numbers from the doc: ad creation went from 2 hours to 15 minutes. 10x more creative output. and he's now testing more variations across more channels than most full marketing teams a $380 billion company. and their entire growth marketing operation (not GTM) = just one person and claude code lol truly unbelievable

Humans can only buy in one place at a time. Their agents can buy all the time. Imagine what this will do to consumption and the economy

Same here. Never would have thought that the same adhd that blocked me from coding 1 project at a time, would be perfect to code with 4 agents at once

2026 in a nutshell

@TheMattBerman @openclaw @vishalojha_me @Meta Ads

I run my meta ads with @openclaw for $0/month 😱 here's the system that runs autonomously: step 1: daily health check → social-cli (major shoutout to @vishalojha_me) wraps @Meta's marketing API (token refresh, pagination, rate limits all handled) → am I on track? what's running? who's winning? who's bleeding? any fatigue? → the same 5 questions I asked Ads Manager every morning for 20 years step 2: catch dying ads before CPA spikes → @OpenClaw pulls daily frequency by ad → frequency > 3.5 = audience is cooked, CTR is about to drop → this one signal saves more money than any dashboard step 3: auto-pause bleeders + shift budget to winners → CPA > 2.5x target for 48hrs? auto-pause. no hesitation. → ranks every campaign by efficiency. recommends shifting spend. → last fri it paused an $87 CPA campaign at 3am and scaled my best performer 30% step 4: write new ad copy from your winners → agent analyzes what's working (hooks, angles, CTAs) → generates variations based on the patterns in YOUR top performers → copy modeled on what already converts in your account. step 5: upload ads directly to your account → new creative + copy → live in @Meta Ads Manager → no more downloading, formatting, clicking through the upload flow → agent handles the entire publish cycle step 6: content concepts + morning brief → spots patterns across winners and suggests what to test next → delivers everything to Telegram, Slack, wherever you want it → 90 seconds to read. reply "approved." done. input: your ad account + your target CPA output: an AI that monitors, kills, scales, writes, AND uploads your ads dozens of hours in ad manager → 1 text message I packaged the entire system as the Meta Ads Kit. 5 @OpenClaw skills: - meta-ads (daily checks + auto-pause) - ad-creative-monitor (fatigue detection) - budget-optimizer (efficiency scoring + shift recs) - ad-copy-generator (writes variations from your winners) - ad-upload (publishes creative directly to your account) giving it away free. comment ADS + like + follow (must follow so i can DM)

@emollick private groups still need discovery though. how do you find your people without some public layer?

Human interaction is going to shift to discords and group chats, invite-only. The open web and social media are going to be left for the agents lurking amongst the ruins. Everything public will be Moltbook.

@GaelBreton what marketing tasks are you automating that feel AGI-level?

I don't care what the benchmarks say. When it comes to marketing tasks, with the right skills and workflows, Opus 4.6 is already AGI. It just needs permanent memory and larger context windows.

Anxiety shrinks your perspective. Positive people expand it. Be around them long enough and you’ll feel how a regulated brain interprets the exact same world.

@david_attisaas this is exactly why Weee built a grocery app for specific cuisines instead of competing with instacart

the biggest opportunity in apps is in the tiny niches nobody's serving. everyone's building "habit trackers" or "meditation apps" saturated markets with billion-dollar competitors. the money is in: specific professions (plumbers app, dentists app), specific hobbies (quilt patterns app, bird watching app), specific life stages (new dad app, retirement planning app). these niches have less competition, higher willingness to pay, and more loyal users. a general habit tracker has 1000 competitors. a "sobriety counter for ex-smokers" has 3. go narrow.

@tomosman @ManusAI automation is great but creative strategy still needs human intuition imo

The degree to which people are underestimating @ManusAI and the Meta acquisition is absolutely astounding. There is still unlimited white space for people to just go full send using it, especially now that it's got the Facebook ad library connector. They're basically making every single media buyer irrelevant, especially with the Manus max plan. Creatives are only going to get better. We have Seedance 2.0 about to land on the timeline imminently, and I would say overtime there's not a media buyer on Earth they'll be able to compete with a Manus agent running directly to the Facebook API. Another thing is that obviously with the max plan, you can run 20 concurrent tasks if you want to. You could even hook your Manus agent, your Manus API, into your @openclaw set up using an Orchestra to spawn them, and then you'll have got some insanity going on.

@kloss_xyz or maybe the real alpha is in the picks and shovels - the infrastructure plays everyone overlooks

How to become rich in the AI era: - Research and map out which market verticals Claude will dismantle in the next 12–18 months. - Identify the publicly traded companies in those industries pretending nothing’s wrong. - Short their denial. - Rotate capital to new markets. Few are leveraging AI this way. Everyone wants to bet on who adopts AI first. The asymmetric trade is betting on who won’t adopt it quickly. And that gap will be brutally violent. Price it in before the market does.

@AlexHormozi wild how we're watching entire industries get reimagined in real time

There's never been a better time to start an AI-first business to disrupt an existing market because all the people in that existing market are busy running their businesses rather than learning AI and using words like "AI-first" rather than actually being AI-first.

@VraserX procedural generation already exists. the real unlock is AI that adapts to your playstyle

If AI can generate any game world, studios stop selling content and start selling universes. Would you pay a subscription for a world that never ends?