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
AI products need a different kind of QA. I test chatbot flows, AI agents, prompt behavior, fallback responses, hallucination risk, response quality, incorrect suggestions, and regression after updates. If your product uses AI, it should be tested beyond normal UI clicks.
#AITesting #AIAgents #ChatbotTesting #QualityAssurance #AIProducts
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
Trending
retrofuturism
Share your favorite designs from the past exploring the distant future. Or your own take on the aesthetic 🚀
halftone
Dots. Texture. Grain. Let's see your designs using the halftone technique.
Midjourney
Creatives are showing off what they're making with Midjourney.
colorgrade
Video editors sound off: How do you enhance the mood of your video in color grading?
Related posts
SAME AI SKIN APP.
SAME DATA.
DIFFERENT PERCEPTION.
Which version makes the result feel more trustworthy?
🟣 A - Purple
🟢 B -Green
At first glance, this looks like a color choice.
But in a health product, color can change more than aesthetics.
It can change what users believe the product is.
🟣 One direction feels closer to premium skincare and self-care.
🟢 Another feels closer to health monitoring and measurable progress.
That matters because each category creates different expectations.
If it feels too cosmetic, AI results may feel less credible.
If it feels too clinical, it may lose emotional comfort.
The real UX question is not:
“Which color looks better?”
It is:
Which visual system makes you trust the result enough to scan again tomorrow?
👇 Vote below:
41 voted
55%
34 voted
45%
75 votes
Closed
Interesting how quickly “health” can shift into “beauty” just through visual language.
Human agents shouldn't be spending half their day filtering options or answering the same preliminary Qs. They should be closing qualified leads.
I built a Voice AI agent (Nova) to prove how seamless automated discovery can actually be.
Check out how it works in the video:
Talks like a human: Natural back-and-forth conversation to figure out budget, location, and property type.
Executes live searches: Calls real backend APIs on the fly to surface verified listings, photos, and specs right on screen.
Closes the loop: Collects lead info and schedules a site visit right into the system.
The Underlying Engine:
Real Estate is just one implementation. The underlying system can be integrated into any custom workflow or CRM:
Healthcare / Service Bookings
Tier-1 Customer Support & Troubleshooting
Automated Sales Pre-screening
If you've been wanting to test Voice AI for your business but need it to interact with real data (not mocked demos), hit me up on Contra! Let's discuss your use case. 🚀
I built an AI recruiter that actually does the interview.
Most AI recruiting demos stop at “the AI can talk.”
I wanted to build something more useful.
The system can:
→ Call a candidate
→ Conduct a structured voice interview
→ Ask follow-up questions
→ Record the conversation
→ Generate a transcript
→ Summarize the candidate's answers
→ Save everything back to the CRM
So instead of a recruiter spending hours doing the same initial screening calls, the AI handles the first stage automatically.
The interesting part isn't the AI voice.
It's connecting the entire process:
Candidate → AI Interview → Recording → Transcript → AI Summary → CRM → Recruiter
That's where AI automation starts becoming an actual business system instead of just another chatbot.
Built with GoHighLevel + AI voice + automation + API integrations.
More builds like this coming.