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
An AI English tutor can sound convincing. But how do you check whether its feedback is consistent and appropriate for the learner?
I’ve launched Abdelaty Tutor Assurance Studio (ATAS), a practical toolkit for people building, selecting, or evaluating AI English speaking tutors.
It provides structured scenarios and evaluation worksheets to help you test tutor responses and document what needs attention.
I’ve also released a free evaluation sample so you can examine the approach before considering the full toolkit.
If you work with AI language tutors, which aspect is hardest to evaluate: feedback accuracy, level appropriateness, or consistency?
#EdTech #LanguageAssessment #AIinEducation
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
Violet/blue look pretty
Just published a new case study: UI Trax, an AI customer agent for online stores. 🚀
Most store chatbots either follow rigid scripts or make things up. I built one that does neither.
What it does:
• Answers from real store data (products, sizes, stock, prices) through tool calls, never from guesses
• Tracks orders only after verifying the customer's phone number
• Runs a guard on every reply that blocks invented links, discounts, policies and promises
• Hands off to a human with a one-line AI summary, then goes quiet when staff join
• Works on web chat and WhatsApp, in English and Roman Urdu
Built with Python and Gemini, and tested against 1,500+ conversation scenarios.
Full breakdown with screenshots is in my portfolio. Open to projects building AI support agents for e-commerce, clinics, real estate and service businesses.
Great work on the case study!
Worth a read if you're building AI support for e-commerce.
UI Trax gets the hard parts right: answers grounded in real store data, order lookups only after verification, a guard on every reply, and a clean handoff to humans with an AI summary.
Reliable AI agents come from architecture, not just prompts. This case study shows it.
#AIAgents #Ecommerce #CustomerSupport #AI
Check it out
The verification step before an order lookup caught my attention. For patient intake, I would similarly verify identity before retrieving records and limit the handoff summary to what staff need. I would also flag uncertainty rather than presenting an unverified summary as fact.
