Recognition
COGNITIONKnowing when and how AI can help
Measure your AI capability in three minutes.
Recognition, utilization, verification, integration, and ethics
assessed through real work scenarios.
The AQ test is a scenario-based assessment of how you judge and use AI in real work, not a trivia quiz. Results are broken into five axes—recognition, utilization, verification, integration, and ethics—so you can continue improving through the practical guides after you finish.
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Knowing when and how AI can help
Getting useful results from contextual instructions
Checking AI output against facts and evidence
Embedding AI into workflows that can scale
Using AI while protecting security and accountability

Build an AI invoice extraction pilot that turns documents into evidence-backed drafts, routes uncertainty to a human queue, and prevents duplicate financial actions.
OpenAI API 429 errors are classified into rate limits and usage limit exceeded, and Python retry code, exponential backoff, jitter, concurrency queue, duplication prevention, and cost calculation are explained.
We compare the differences between RAG and fine tuning in terms of knowledge recency, output consistency, construction cost, operation cost, and failure recovery. We even provide verification procedures and cost calculation formulas for the two weeks prior to chatbot introduction.
ChatGPT Plus monthly subscription and OpenAI API pay-as-you-go are not the same product. Compare cost calculations and selection criteria for individual tasks, automation, and service development with actual token budgets.
Compare the 2026 free limit, paid charging structure, data model, and mobile operation differences between Supabase and Firebase based on official documents. We provide cost calculation methods and selection checklists for each web SaaS, mobile app, and MVP.
We compare the charging unit and operational difficulty, which are more important than the price tags of n8n, Make, and Zapier, with actual 1,000 cases per month and 5 steps of work. We have compiled selection criteria and migration checklists for beginners, working teams, and development teams.
A search-focused hub for prompt templates, validation loops, and memory structures.
SEARCH HUBComparison and operations guides for Claude Code, Codex, Gemini, GitHub MCP, and AGENTS.md.
SEARCH HUBA practical collection covering n8n, multi-agent systems, voice agents, Deep Research, and Workspace Agents.
SEARCH HUBA single hub for infrastructure decisions across GPUs, routing, memory bottlenecks, multicloud, and sandboxes.
Twelve practical scenarios, a five-axis radar chart, and an AI profile.
Three minutes is enough to see your score and percentile among peers.
