Agent Management.

A model update changes behavior. A prompt drift corrupts outputs. An API deprecation silently fails. Most teams notice weeks later, after the damage. Agent management means owning the whole lifecycle: build, deploy, monitor, iterate, retire.

Agent design and task scoping. Build using Claude, OpenAI, or local models. Eval suites that catch regressions. Observability and error tracking. Scheduled retraining and prompt updates. Monthly reliability and usage reports.

Agents that stay on-task, not just on-line. Early warning when model behavior drifts. Measurable ROI, not vibes-based hype. A team freed from babysitting the bots.

Agent Management from Create A Legacy is designed for business owners, founders, and operators who want measurable results without long ramp-up times. We work with solopreneurs, small businesses, growth companies, and organizations across the United States.

Agent management covers the full lifecycle after launch: monitoring for behavioral drift, eval suites that catch regressions when model providers update, prompt optimization, API deprecation handling, usage reporting, and scheduled retraining. Most teams notice when an agent breaks weeks after the damage — we catch it the same day.

We build eval suites specific to each agent's task that run on a schedule. These compare current outputs against a known-good baseline. Combined with real-time observability into error rates and output quality, we can detect drift before it affects your business.