Technology & AI · ML & AI

AI Agents in Engineering — Zones, Gates, and the Senior Loop

Simulation to teach engineering managers how to govern agent-assisted SDLC: mapping work into Zone A/B/C, designing named pre- and post-merge gates, protecting senior judgment, and measuring drift quarterly. The learner balances velocity against change-failure rate, MTTR, and senior satisfaction across 4 rounds.

4 rounds Executive English, Español
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Who it is for

An advanced simulation for participants used to working with the main frameworks and trade-offs of the subject, designed for executive education and experienced professionals.

How a session runs

  1. The instructor creates a session from the Eureka dashboard and invites the participants.
  2. Participants play 4 rounds. In each one they submit their decisions and the simulation calculates the results.
  3. The simulation can be run in English, Español.
  4. The instructor follows each participant's progress and results from the dashboard, and uses the class results for the debrief.

Decisions participants make

The decisions participants make during the simulation:

  • Zone A — Agent-owned (%)
  • Zone B — Agent-draft, human-owns (%)
  • Zone C — Human-only (%)

What participants track

What participants follow on screen as the rounds go by:

  • Your Policy Decisions This Quarter
  • Quarterly Scorecard

Subjects covered

Designed for courses in ML & AI.

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