Our Quraited Thoughts
Why Secure Design Patterns Are Your Best Defense Against Prompt Injection in LLM Agents
If you've built LLM agents, whether for Text-to-SQL, customer service, or resume screening, you're sitting on a security time bomb.
Why Multi-Agent Evaluation is Different from Single-Agent Evaluation
Moving from single agents to multi-agent systems brings a similar leap in complexity.
A Multi-Lens Framework for Evaluating AI Agents
Evaluating traditional software systems is a deterministic process, where outputs are validated against a known, correct result.
Designing Perceived Intelligence: UX Principles for Conversational AI
Conversational AI has matured from a novelty to a foundational capability in many digital products.
Why Context Engineering Mirrors Information Architecture for LLMs
If you've worked in UX, this might sound familiar. Information architecture (IA) is the discipline of organizing website content so users can find what they need without cognitive overload.
Why Agent Evaluation is Different from Model Evaluation
As AI systems become more Agentic and take on complex, real-world tasks, the need for rigorous evaluation is greater than ever.
The Crucial Role of Evaluation in Agentic AI Development
We’re all talking about “Agentic AI” now. These systems aren’t just chatbots; they’re designed to execute multi-step tasks with minimal human oversight.
Why Secure Design Patterns Are Your Best Defense Against Prompt Injection in LLM Agents
If you've built LLM agents, whether for Text-to-SQL, customer service, or resume screening, you're sitting on a security time bomb.
Why Context Engineering Mirrors Information Architecture for LLMs
If you've worked in UX, this might sound familiar. Information architecture (IA) is the discipline of organizing website content so users can find what they need without cognitive overload.
Why Multi-Agent Evaluation is Different from Single-Agent Evaluation
Moving from single agents to multi-agent systems brings a similar leap in complexity.
Why Agent Evaluation is Different from Model Evaluation
As AI systems become more Agentic and take on complex, real-world tasks, the need for rigorous evaluation is greater than ever.
A Multi-Lens Framework for Evaluating AI Agents
Evaluating traditional software systems is a deterministic process, where outputs are validated against a known, correct result.
The Crucial Role of Evaluation in Agentic AI Development
We’re all talking about “Agentic AI” now. These systems aren’t just chatbots; they’re designed to execute multi-step tasks with minimal human oversight.
Designing Perceived Intelligence: UX Principles for Conversational AI
Conversational AI has matured from a novelty to a foundational capability in many digital products.
"Treat your agent like an untrusted worker.
Curate your confidence, don't assume it."
© 2025 Quraite