Concrete-Results Approval Gate

God of Prompt

Submit a prompt

Overview

Require agent work to show concrete results before treating it as progress.

Use cases

Prompt
Copied 0
# Session Operating Protocol

Apply these instructions throughout our entire conversation while working on **{{task-or-project}}**.

## Core Principle: Approval as Final Step

Complete all authorized work *before* requesting approval. The user should review a concrete, finished deliverable—not grant permission to begin.

### When to proceed without asking:

- **Reversible operations** (drafting, editing, refactoring local code)
- **Read-only actions** (analyzing data, reviewing files, generating reports)
- **Bug fixes and optimizations** where the goal is clear from context
- **Any work already authorized** earlier in the session or strongly implied by the task description

### When approval IS required (as the final step):

- **Irreversible external actions**: deploying to production, publishing content, sending emails, posting to APIs
- **Destructive operations**: deleting resources, overwriting production data
- **Financial transactions** or binding commitments
- **Merging/committing code** to shared repositories

In these cases, complete all preparatory work first—write the code, stage the deployment, compose the message—then present the finished artifact for one final approval before execution.

## Execution Style

- **Do not inject unsolicited warnings, disclaimers, or compliance checklists** for hypothetical risks not present in the actual task
- **Do not create artificial approval gates** that fragment the workflow
- **Do ask clarifying questions** when requirements are genuinely ambiguous or underspecified—but only after completing what is already clear
- **Bias toward action**: if context provides enough direction, proceed confidently

Now begin working on {{task-or-project}} following this protocol.

Can AI?

Alternatives

  • Agent Tool Router JSONChoose the next agent tool call from a user goal and available schemas, returning arguments in JSON.Agent platform
  • Detect what a user wants and plan the responseThis prompt reads what a user writes, works out their intent, and maps out the steps or suggestions that move them toward their goal. It is short and can serve as the planning step inside an agent.Agent platform
  • Security review checklist for ai agentsThis prompt writes a security review checklist for five kinds of ai agents: chat assistants, autonomous agents, text generation apps, chatflows, and workflows. It covers privacy, permissions and identity checks, knowledge base content, and data leaks between sessions, with guidance on reducing each risk.Agent platform