One of the best parts of freelancing is finding clients who trust you enough to let you do your best work. Grateful for the kind words from Karen at Purple Porcupine Media. We started with fixing a stalled app and ended up building a full AI-powered career platform for entertainment professionals. Excited for what is next.
“Fahad brings technical expertise, professionalism, clear communication, and strategic insight in everything he did. He consistently delivered high quality work, elevated functionality, and brought thoughtful, innovative ideas to my project.”
Designed a modern and intuitive AI-powered mental wellness website focused on emotional well-being and personalized digital experiences.
The platform features an AI therapist, mood tracking, meditation, sleep improvement, wellness plans, and data-driven insights. A calming blue color palette, immersive visuals, clean layouts, and thoughtful UI elements create a seamless and engaging user experience.
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?