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🚀 I'm building Brandwell, an AI personal-branding coach for developers, freelancers and job seekers (currently in development).
It scores your profiles across 10 platforms, then fixes them: the new AI Rewrite Studio took a generic headline from 20 to 95/100, and Job Match shows your honest fit for any role.
Under the hood, pages now load in ~30 ms instead of 2 s, credentials are encrypted, and it's load-tested with 30 users at once.
Next up: weekly progress emails and PDF reports. I'd love your feedback!
#AI #PersonalBranding #BuildInPublic #PHP
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
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mentalhealthwebsitedesignartificialintelligenceAI VIsual DesignerResponsive DesignWeb DesignClaudeFigma
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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.
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The hero opens with a bold claim, SEO is dying.
The dark blue hero with the "SEO is dying" headline is a bold opener. The side by side chat cards make the GEO idea easy to get at a glance.