An FDE's job has three parts: auditing, eval suites, and deployment
When you're actually building an AI agent for a client, your role as a Fractional/Field Deployment Engineer breaks into three distinct phases. First, auditing — thoroughly understanding the existing workflow. Second, creating evaluation suites to make sure the system behaves correctly; this is extremely important in the AI age and cannot be skipped. Third, deployment — which has two sides: hand-holding the client to ensure they're adopting the system and it's working well for them, and the software side, making sure nothing breaks. You're monitoring KPIs, SLAs, and every metric that matters. Everything needs to be top-notch for someone to genuinely trust you. And critically, every stage is a prerequisite for the next.
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MembersRubrics: how Hyper Agent scores agent output quality automatically
Hyper Agent has a feature called rubrics — essentially an eval rubric that lets you define what 'good' looks like for a specific type of task. For example, you could create a rubric called 'What makes great Greg Isenberg content?' and pin i
Hyper Agent is built for scalability and fleet deployment from day one
Unlike Manus or Perplexity Computer — where the nominal experience is using one awesome agent directly — Hyper Agent is designed from day one with scalability and deployability in mind. Once you have an agent that works for you, you can dep
Hyperagent agents can be deployed into Slack as always-on virtual co-workers
Any agent you build in Hyperagent can be pushed into Slack with a single click. The agent configuration lets you choose a channel, set the trigger mode (mention-only or listen to the full channel), and toggle auto-responses. In 'listen to c