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What “draft-only” actually looks like:
1. The agent reads the incoming message
2. It writes a suggested reply
3. A human reviews it in seconds
4. Only then does it send Fast, but never blind.
→ If you're automating replies, ask your builder whether it sends or drafts.
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
Challenges
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Most AI agent sites explain the product. This one runs it.
Baton's hero is a working dashboard — switch agent modes, type in the chat bar. The pitch is the demo.
Full site: platform, pricing, docs pages. CMS-driven, light and dark.
Check it out in the replies 👇
Really great !
Experimented a bit today with Krea and image generation for a case study I’m putting together around AI EarPods connected to OpenAI.
The focus has been on creating fashion-forward product imagery and art directing a world that feels specific to the identity, rather than just generating nice-looking AI images.
The trickiest part has been product consistency. Especially getting the EarPods to actually sit snug in the ear. If you’ve worked through this process, you probably know the struggle 😅
Simply telling AI to “make it fit more snug or in the ear” doesn’t always work. It loves to reinterpret the product every time.
Still experimenting, but getting closer. If anyone has found a good workflow for keeping products consistent across AI-generated shoots, I’d love to hear it!
TOP!
Google's AI cited my client's LinkedIn post 11 times last
month.
He wasn't writing for you. He was writing for ChatGPT.
Profile views tripled anyway. Inbound doubled.
If you're a consultant or founder posting three times a
week, getting likes, and still waiting on inbound, this is the ranking game
you're not playing.
AEO. Answer Engine Optimization.
Someone types a question into ChatGPT Search or Google AI
Overviews. The answer comes with sources. LinkedIn posts are on that list.
Semrush ran 325,000 prompts. LinkedIn showed up in 14% of
ChatGPT Search answers.
Most of those citations went to individual profiles, not
company pages. Half came from accounts under 10,000 followers.
Quotability beat follower count.
What gets quoted (steal this):
1. One question per post
→ Line one is the
exact question a buyer would type into ChatGPT.
2. A plain-English definition inside 3 lines
→ AI lifts clean
sentences. It can't quote a vibe.
3. Your own dated numbers
→ "11
citations in August" gets cited. "Great results" doesn't.
4. A headline + About section that claim the topic
→ The model checks
who's talking before it trusts the post.
Check yourself in 5 minutes: type your ideal client's
question into ChatGPT Search and scroll the sources. If a competitor's post is
there and yours isn't, that's your next topic.
The feed forgets your post in 5 days. An AI citation keeps
answering for you for months.
(I'll say the uncomfortable bit: I think AEO beats the feed
algorithm for inbound by 2027. Most coaches selling algorithm hacks won't like
that.)
Two years from now: does a ChatGPT citation beat LinkedIn
reach for inbound, or is AEO just SEO in a new hat? Pick a side.
-- M Aadil A.
