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Building Your First AI Agent

Building Your First AI Agent

Agent Frameworks

A practical starter guide to building your first AI agent, covering task scoping, framework choice, tool connections, and safe autonomy.

AP
Staff
September 3, 2026 · 1 min read

Building your first agent is a lot more approachable than the ecosystem’s jargon makes it sound. Here’s the practical starting path.

Pick one narrow, well-defined task, summarizing new emails matching a filter, checking a website for a specific change. Not “manage my whole inbox.” A narrow scope is what actually lets you finish and learn something.

LangChain is the most common starting framework for a reason, extensive documentation and a huge library of pre-built tool integrations. A provider’s own SDK is a reasonable alternative if you’re committed to one model.

Give it read-only access first. Let it check things and report back before you let it take any real action. This catches most bad behavior before it costs anything.

Only add the ability to actually act, sending an email, writing a file, once you’ve watched it reason correctly across many read-only runs. See LangChain’s own getting-started documentation for the concrete first steps.

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AI Agent ROI: How to Measure It

AI Agent ROI: How to Measure It

Enterprise Agents

A practical guide to measuring real AI agent ROI, including setting a baseline, tracking outcomes over activity, and accounting for full deployment cost.

AP
Staff
September 3, 2026 · 1 min read

Most companies measuring AI agent ROI are measuring the wrong thing, which is why so many pilots look successful internally and stall when it’s time to scale.

Tasks completed and messages sent are activity metrics, not outcomes. An agent can generate a lot of activity while producing worse results than the process it replaced. Track quality relative to the previous baseline, actual hours freed up, and error rate against the prior process instead.

Compare against your real baseline, not a hypothetical. How long did the task actually take before, including the rework and error correction people usually forget to count.

Include the full cost, not just the API bill. Integration and change management, covered in our budgeting guide, are usually the larger line item, and ROI calculated on subscription cost alone is going to look better than it actually is.

Measure over a full quarter, not the first excited week. See McKinsey’s own research on enterprise AI value for the underlying data on why most pilots stall before scaling.

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