How to Evaluate AI Agents: Test the Outcome, Not the Answer
A practical guide to AI agent evals: define done, build a resettable sandbox, grade the end state, path, and cost, run repeated trials, read transcripts, and turn every failure into a test.
Ntense · Blog
Practical ideas for AI-native work.
Evidence-led guides on directing AI, exercising judgment, and turning real work into proof.
One Agent for Execution, Multiple Agents for Thinking
When should you use one AI agent or several? Keep execution with a persistent agent and bring in independent perspectives when a hard question benefits from debate and evidence.
Ntense tutorial: Create an app from a prompt, then learn to build with AI
Create an app from a plain-language prompt in Ntense, try the result, queue changes, share it for feedback, and move into hands-on AI building when you are ready.
Ntense AI API quickstart: endpoints, models, and request examples
Configure the Ntense AI API and try seven OpenAI-compatible curl examples for text, images, audio, transcription, and embeddings.
Ntense beyond the cloud: Use your own browser, development tools, and GPU
Connect your Chrome browser, a development computer, or a Colab, Kaggle, or Jupyter notebook to Ntense with Ntense Tunnel: modes, approvals, and install commands for macOS, Linux, and Windows.
How to Tell If a Job Candidate Is Truly AI-Native
An AI-native candidate does more than use AI tools. This interview guide helps employers test for learning speed, judgment, responsible delegation, verification, and ownership of real outcomes.
The Next Entry-Level Tech Skill Is AI Supervision
As AI performs more first-pass production work, beginners need a new apprenticeship: direct AI toward real outcomes, inspect its work, learn the foundations, and remain accountable for the result.
GPT-6 Astra May Scare Senior Professionals More Than University Students
AI may threaten the skills and identity senior professionals spent decades building. Students face a deeper question: where will their first experience come from?
What AI Agent Engineers Actually Do: The Real Work Behind Production Agents
A practical look at the daily routine of an AI agent engineer, from tracing failures and improving tools to running evaluations, setting approval boundaries, and operating agents after launch.
Build a Low-Cost Agentic RAG Support Bot with Mem0 and OpenAI
Build a lower-cost customer support agent that uses Agentic RAG to retrieve company knowledge and customer memory only when the current question needs them.