AI Agent Evaluation Framework: Test Before Production

No. AI agents are shifting the work, not eliminating roles. Engineers who were writing boilerplate and fixing tests are now designing agent behavior, writing test strategies, and reviewing agent-generated code. The work is higher-level and more interesting. Tools like Claude Code and Codex are raising the bar for what humans focus on, not removing the focus entirely.

If you use AI for hiring, employee monitoring, or autonomous decisions, you're subject to August 2, 2026 requirements. This means risk assessments, bias testing, human oversight, transparency to users, and documentation proving compliance. If you're not using AI for high-risk purposes, the obligations are lighter. Most companies need to audit their AI use by August 1, 2026.

AI systems cite sources that have clear article structure, author credentials, publication dates, and topical authority. Write long-form content (2000+ words) on focused topics, add author bios with credentials, use schema markup, and make sure your content is easy for crawlers to parse. Then build topical authority by linking related articles together.

MCP is not required, but it's becoming the standard. It's an open protocol that lets agents securely access tools, APIs, and live data without embedding credentials or code in the agent itself. If you're building agents that need to access external systems, MCP is the cleaner approach than building custom integrations.

It depends on your workflow. ChatGPT is the broadest all-rounder. Claude is strongest for long-form knowledge work and coding. Perplexity is best for source-led research. GitHub Copilot and Claude Code are competing for coding workflows. Gemini fits Google-heavy teams. Start with one and commit for 30 days before switching.

Immediately. Even agents in internal testing should have logging, override capabilities, and clear boundaries about what they can do. Once agents touch customer data, payment systems, or production infrastructure, governance becomes mandatory. The EU AI Act requires high-risk agents to have continuous monitoring and human override options.