Engineering practices and technical insights from atypica.AI
!Two subtle shifts in model capability If you've been building with large language models over the past two years, you've probably noticed that the discourse moves fast. Every few months there's a new framework, a new term, a new "paradigm." Agents, harnesses, context engineering, prompt caching,...
Read more →!image 01 Why Cache? If an AI agent only answers one or two rounds of questions, token cost is usually easy to understand: how much the user sends in, how much the model returns, and the bill roughly follows. Research agents are different. In the commercial research-agent scenario at Atypica.AI, ...
Read more →Universal Agent + Skills Tutorial: Build Your 10-Person Team from Scratch Imagine this: You tell your AI Agent: "Write me technical documentation." It instantly loads and transforms into a tech writer. Next moment: "Analyze our competitors' ad strategies." It swaps in and starts crawling data. Ev...
Read more →Designing Natural AI Memory: Why It Feels Awkward and How to Fix It You've built memory into your AI. Users can now have conversations that reference past interactions. Great! Except... users feel weird about it. The Problem Here's what usually happens: User: "Help me research Gen-Z skincare tren...
Read more →Building Scalable AI Agent Systems: Three Evolutions I. December 2025 We needed to add a new feature: group discussions ( ). This should've been simple. We already had —one-on-one conversations where users deeply engage with AI-simulated personas. Group discussion was just scaling from 1-to-1 to ...
Read more →The architectural evolution of a consumer research platform Background We're building atypica, an AI-driven consumer research platform. The goal is simple: let AI independently conduct user research — from observing social media, to simulating interviews, to generating insight reports. Along the ...
Read more →atypica.AI is a multi-agent research platform where AI agents collaborate to conduct user research. Users ask business questions, and the system orchestrates multiple specialized agents—Study Agent plans research, Scout Agent discovers target users from social media, Interview Agent conducts auto...
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