Reverie Hacks 2026 ยท ML Prompt Engineering

Can a prompt keep money safe?

Structured prompts guide the agent. A deterministic gate decides whether an attempted payment may reach the side effect.

8/8 documented behaviors reproduced
7/8 safety targets met
1 known limitation disclosed

Workflow

Human input, model reasoning, code boundary

Every stage narrows the next. The final decision is not a prompt.

FlowPilot PromptGuard workflow from user request through Claude Opus 5 prompts, human confirmation, screening, policy gate, and testnet execution.

Interactive samples

Run the eight adversarial cases

Select a case to inspect the same attempted action under two execution boundaries.

Latest user message
Attempted amount
Recipient
Screened this turn

One broad prompt

Prompt-only boundary

The tool call reaches execution without an external validator.

Structured workflow

PromptGuard

Exact confirmation, current-turn screening, and execution limits run in code.

Reproducible evidence

No API key required for the core result

npm install
npm test

The optional model A/B harness requires an Anthropic API key. No model outputs are fabricated or committed. Testnet only; no real funds.