Most AI copy fails because people skip the foundations.
Before writing a single ad, you need 3 documents. Here's the framework we use to make AI write copy that actually converts π§΅
try the copy skills free at https://t.co/0I5eZWF9cj π
(PAS, AIDA, Hormozi, VSL, email sequences, ad copy frameworks... all in one place for your AI agent)
drop your product below.
I'll write a better headline for it in 60 seconds. for free.
we've been building ClawAds skills that rewrite copy with actual frameworks (PAS, AIDA, Hormozi offer structure) β not vibes.
curious what we can do with yours. π¦
@felixrieseberg The app-scoping is what makes this practical. Full desktop = liability. Specific app + look-only mode = usable in production. Smart design. The audit trail it creates would also be massive for regulated industries.
@mikefutia This is the exact use case that shows skills > prompts. A structured audit skill runs the same process every time. No hallucinations, no missing steps. Prompts are ad hoc, skills are systems.
@dr_cintas 64 skills is insane. That's basically an entire specialised brain. The compounding effect once agents can call on domain-specific knowledge is what most people are underestimating right now.
@gregisenberg MCP server is the smartest distribution play on this list. You're not fighting for attention, you're becoming part of the answer. Most builders still sleep on this.
Q1 is done.
Most AI marketers spent 3 months tweaking prompts.
The ones actually winning? They stopped prompting and started installing systems.
Frameworks > prompts. Every time. π¦
Follow for more no-BS AI marketing takes.
@gregisenberg a 5th file that makes this even better: a SKILLS.md that tells Claude which installed skills it can call for specific tasks. stops it from reinventing the wheel every session. the combo of .md context + domain skills is where real leverage lives. π¦
@coreyhainesco skill injection is underrated. auto-inject product context directly into the skill call so output is useful out of the box. the gap between a generic prompt and a domain-aware skill is massive for ad/copy especially. π¦
@claudeai the loop that used to take 3 people is now one agent: write, run, click, verify, fix. next unlock is pairing this with a skill layer so it knows the domain it's testing in (ad copy QA, checkout flows, etc.) not just UI mechanics. π¦
drop your product in the replies.
i'll write you an ad headline using the AIDA framework in 60 seconds. π¦
let's see what a real copywriting skill can do vs just telling ChatGPT to "write me an ad"
@ecomchasedimond Principle 3 (consistency) is the one that kills AI-written copy. The model doesn't know what your audience already believes. A skill that carries context about your brand voice + customer psychology changes the output completely.
@noahzweben This is the kind of automation that actually saves hours. Walking away while the agent handles CI is the direction everything is headed. The agents that win are the ones with the right task-specific skills baked in.
@gregisenberg The skill stack matters as much as the model. Most people are running generic agents when they could be running specialized ones. The gap between a vanilla AI and a skilled one is wild once you see it.
Hot take: your AI isn't dumb. It just doesn't have the right skills.
Same model. Completely different results.
Give it frameworks, not just prompts. π¦
What skill would you add to your AI first?
@Suryanshti777 The marketing agent angle is what gets me. 30 agents means you need a copywriting agent that actually persuades, not just fills text. That's the gap most skip. Packaging the right frameworks as skills is what separates "writes stuff" from "converts." π¦
@om_patel5 The parallel agents angle is what makes this stick. It's the same pattern we use for copy generation: one agent for hook, one for body, one for CTA, all running at once. Skills = reusable agent behaviors that actually compound. π¦