Motium is an AI interviewer for hiring. Candidates sit down face to face with Wren, a talking video interviewer, and have a real conversation about the role instead of filling out a form. Wren is paid by the employer but works for the candidate: the job is to find what each person is unusually good at and make sure the hiring manager sees it. Every role interviews for the same fixed skills, so candidates can be compared fairly, but the questions are written fresh for each person.
After the call, the hiring manager gets a clear recommendation with the reasons behind it, plus a video recording of the interview. Every question, answer and verdict is signed and hash-chained, so the record can be checked later and can’t be quietly changed. Fairness rules live in the code, not in a policy doc: nothing is scored before consent, and an interview can’t be cut short early without a review.
I built the server that runs Wren’s side of every turn, the live video face running on GPUs, the employer dashboard, Studio 11 (a short spotlight show for recognizing employees), and Pete, a built-in help assistant. It runs on Claude through the Claude API and Amazon Bedrock, with ElevenLabs for voice.
As a product designer, I’ve never felt like our field was changing as rapidly as it is right now. Tools emerge, you adapt, they disappear. Processes that took hours can now be largely automated, and overall, I feel like a big part of the fun gets lost because of a communication issue: I struggle to tell the tools exactly what I want in enough detail.
I recently stumbled across a few interesting and promising startups that might bring some of that joy back and take the pain out of parts of our work.
Proto is building an IDE specifically for product designers, bringing design and AI workflows closer together. 👩🏻💻
Simulithic uses AI agents to test your app across devices, browsers, and account types, automating test creation and maintenance. 🤳🏼
Composal uses swarms of AI agents to explore product flows and edge cases, finding what breaks before release. 🕵🏻♂️
Native helps marketers decide what to create by ranking ideas based on brand context, performance, trends, and creative feedback. 🦖
An AI customer support chatbot for a fictional Nigerian food delivery business, Lagos Fresh Kitchen. It runs on n8n Cloud and uses Claude Haiku 5.5 as the AI model. The workflow is three nodes: a chat trigger receives the customer’s message, an AI Agent processes it, and the Anthropic Chat Model writes the answer.
How it behaves
The AI Agent has a system message that sets the rules. It must answer only from the business information, never invent prices, areas, hours or policies, and use a fixed fallback line when the answer isn’t there: “I don’t have enough information to answer that accurately. Please contact our support team.”
The business information it knows
Open Monday to Saturday, 9 AM to 8 PM, closed Sundays
Delivers to Lagos Mainland (Ikeja, Yaba, Surulere, Maryland, Ojota, Gbagada) and Island areas (Victoria Island, Ikoyi, Lekki), not outside Lagos
Delivery takes 30 to 60 minutes, with fees from ₦1,000
Menu of jollof rice, fried rice, rice and stew, pounded yam with egusi, grilled chicken, suya and soft drinks
Payments by card, transfer and cash on delivery
Cancellation allowed before cooking starts
No Sunday orders or Sunday delivery, and no event catering
Refunds, complaints and order status go to support