Autonomous Execution

Introduction

Autonomous execution = running long agent tasks without human ticks. Needs all of: orchestration, memory, eval, monitoring, kill switches, budget caps.

Beginner analogy: autopilot on a plane — humans set the destination and intervene only on exceptions.

Understanding the topic

Core concepts:

• Budget caps: time, $, tokens, tool calls.
• Heartbeats: agent must check in periodically.
• Exception escalation to humans.
• Append-only audit log.
• Kill switch reachable from a dashboard.

Syntax reference

Visual workflow / architecture:

run start → budget set → loop:
  step → log → check budget
                │
                ▼
       over? ── yes ──► pause + notify
                │
                no
                ▼
            continue

Real-world use

Devin runs hours unsupervised under budget caps; AutoGPT taught us why caps matter.

Best practices

• Always set HARD budget limits.
• Wire kill switches to a 1-click dashboard.

Common mistakes

• Soft caps that warn but don't stop — you'll pay the bill.

Hands-on exercise

Interview preparation — practice these questions:

• Q1. Four budget caps to set?
• Q2. Why have heartbeats?
• Q3. Scenario: your autonomous agent went rogue overnight. Three artefacts you need to investigate?