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If you're building an AI assistant, Hamel Husain's evaluation FAQ gives you questions for examining failures. Jason Liu's RAG guide covers improving retrieval for document-based assistants.
I've included both in a guide to ten AI builders, with an original source for each and a note on when their work is useful. The selection covers model mechanics, evaluation, retrieval and agent design.
topmoller.com
Top 10 AI builders to follow on X for practical systems work
Ten practitioners and their original work, chosen for different questions in model development, AI applications, agent design and document processing.
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Your next site visitor might be someone's AI agent.
Last week Sierra and Meta announced the Personal Agent Protocol, with Walmart, Shopify and Stripe among the partners. An agent can browse a store as a guest, and once the customer signs in, the customer decides if it can only read or also act.
If an agent reads your landing page before a person does, what would you design differently?
thenextweb.com
Sierra announces Personal Agent Protocol, an open standard for personal AI agents
Personal Agent Protocol is an open standard from Sierra, Meta, Shopify, Stripe and Walmart. Stripe and Shopify are already on a rival protocol run by Visa.
Clear, structured content first. An agent can't guess what's inside a hero video or a screenshot, so plain text, headings and alt text end up doing most of the work.
Eyewear Ecommerce Website Redesign — AI vs. WaxyWeb
A side-by-side design comparison exploring two approaches to an online eyewear store.
The WaxyWeb redesign focuses on the relationship between product presentation, collection browsing, editorial imagery, and the store’s visual identity.
Design considerations:
Eyewear product presentation
Ecommerce layout and hierarchy
Collection and product discovery
Fashion-focused visual direction
Consistent online shopping experience
For fashion, eyewear, and lifestyle brands, the goal is to create a store that presents products clearly while giving the brand a recognisable visual presence.
Website design and development: www.waxyweb.com
WaxyWeb
When a competitor changes its website, what actually deserves action?
I built the full Eris Agent application and website around a practical workflow:
• Compare your website with confirmed competitors.
• Review page and offer changes with source links and collection dates.
• Save findings as reports and follow-up actions.
• Keep incomplete checks clearly marked, so missing evidence does not look like a confident conclusion.
The product lesson: a monitoring dashboard becomes more useful when someone can trace a finding back to its source and decide what to do next.
Here is the application case study: https://contra.com/p/LQOEPvbB-eris-agent-competitor-intelligence-app-and-website
I build web apps, MVPs and scoped AI/agentic workflows for founders and agencies.
Which competitor change would you want flagged first: pricing, offers or positioning?
does it catch pricing changes? that's the signal i'd care about most
