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
Back to feedPost
Zeipo.ai is a 24/7 AI receptionist built to help businesses win, answering every call, filling booking schedules automatically, and cutting call-centre costs by up to 80% while competitors lose customers to missed calls.
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
Related posts
My Contra discovery score is now 182, putting me in the top 1% of creatives.
Funnily enough, I haven't gotten a job on Contra yet. 😂 I'm just here, posting my work, building my portfolio, and hoping the right clients find me
One thing I've learned is that you have to keep showing up, even when the results aren't coming yet.
Hopefully, something good comes out of it...
Congrats buddy
🍔 BITE BOX — Where Every Bite Brings a Smile! 🧡
A fun, fresh, and memorable logo concept designed for a modern fast-food brand. The smile icon represents happiness, while the bold typography creates a friendly and recognizable identity. 🍟✨
#LogoDesign #FoodBranding #GraphicDesign #BrandIdentity #LogoDesigner
the little chef smile on the box is doing a lot of the work here
Before you add AI to your product, find the screen where your users already copy and paste.
That's usually where the real AI feature lives. Not a chatbot in the corner, but a step people already do by hand: summarising a ticket, drafting a reply, tagging an upload, pulling fields out of a PDF.
Here's the order I follow when a founder asks me to add AI to an existing SaaS:
1. Pick one workflow, not "AI everywhere." Watch where users leave your app to paste something into ChatGPT and come back. That round trip is your feature.
2. Keep the model behind your own API. One service owns prompts, retries, logging and cost limits, so you can switch providers without touching the frontend.
3. Make it tenant-aware from day one. Each customer's data, prompts and usage stay scoped to their account, or the first enterprise security review will stop you.
4. Ship a draft, not a decision. Let the AI suggest and the user approve. You earn trust and get real feedback before you automate anything.
5. Measure accepted output, not tokens. If users rewrite most of what it produces, the prompt or the context is wrong, and that's your real roadmap.
Most AI features that flop didn't fail because of the model. They were bolted onto the wrong step.
What's the one task your users still copy into ChatGPT?
Watching where users paste into ChatGPT and come back is such a practical way to find the real feature. Most teams start with the chatbot instead.