TL;DR

Most AI agent failures don’t come from bad code. They come from bad assumptions.

In Antigravity, the /grill-me command forces the agent to stop executing… and start thinking.

Instead of generating code immediately, the agent:

• asks questions,
• clarifies requirements,
• identifies blind spots,
• challenges technical decisions,
• validates the architecture before writing a single line of code.

And honestly?

It’s probably one of the best habits you can adopt when working with AI agents.

🤖 The Real Problem With AI Agents

Modern AI agents are impressive.

You tell them:

“Build me a PrestaShop module with API synchronization and an admin dashboard.”

And they immediately start building.

The problem: they often start moving… in their own direction.

Why?

Because an AI agent:

• fills in the blanks,
• interprets intent,
• assumes constraints,
• invents business behaviors.

The result: you sometimes end up with:

• the wrong architecture,
• incorrect business assumptions,
• an unwanted tech stack,
• unmaintainable technical decisions,
• or simply… something that doesn’t match your real need.

The worst part?

The code can still be technically good.

But completely off target.

🔥 /grill-me Completely Changes the Dynamic

The /grill-me command changes how the agent behaves.

Instead of:

“I’ll start coding immediately.”

The agent switches to:

“First, I need to fully understand what you want.”

It becomes a technical interrogation.

The agent starts to:

• ask targeted questions,
• request examples,
• clarify edge cases,
• verify constraints,
• identify ambiguities,
• validate priorities,
• anticipate architectural problems.

And that changes everything.

🧠 Why This Approach Is Extremely Powerful

1. It Reduces Business Hallucinations

AI agents rarely hallucinate syntax.

They mostly hallucinate:

• intent,
• requirements,
• workflows,
• implicit business rules.

/grill-me drastically reduces this problem.

2. It Forces Requirement Clarification

Most projects start with vague specifications.

And very often: even the human developer hasn’t fully clarified the need yet.

/grill-me then acts like:

• an architect,
• a Product Owner,
• a tech lead,
• a functional challenger.

The agent becomes a requirement refinement tool.

3. It Prevents Bad Starts

A bad AI-driven start is expensive:

• refactoring,
• rewrites,
• context loss,
• technical debt,
• fragile architecture.

A few minutes of intelligent questioning can save hours of corrections later.

⚙️ A Concrete Example

You ask:

“Build me an ERP synchronization system for PrestaShop.”

Without /grill-me, the agent could:

• choose the wrong sync strategy,
• assume real-time flows,
• ignore scalability constraints,
• create a non-scalable architecture,
• forget retries,
• ignore data conflicts.

With /grill-me, the agent could ask:

• What is the source of truth?
• Is synchronization bidirectional?
• What is the product volume?
• Real-time or batch processing?
• Conflict resolution strategy?
• Expected SLA?
• Multi-store support?
• Target PrestaShop compatibility?
• REST or SOAP API?
• Retry management?
• Queue system?
• Is idempotency required?
• Failure tolerance expectations?

And suddenly: we’re no longer just talking about “generating code”.

We’re talking about: designing a system correctly.

🚀 Other Essential Commands in Antigravity

/goal

/goal is basically the opposite of /grill-me.

Here: the agent receives a final objective and operates autonomously until the task is complete.

Example:

/goal Fix all broken tests and stabilize the CI pipeline

The agent:

• plans,
• executes,
• fixes,
• iterates,
• validates.

Without asking for intermediate approvals.

This is extremely powerful for:

• refactoring,
• CI/CD fixes,
• migrations,
• repetitive tasks,
• well-scoped workflows.

/schedule

This command allows background task scheduling.

Typical use cases:

• scheduled jobs,
• delayed execution,
• recurring automations,
• AI cron jobs.

Example:

/schedule Analyze logs every night at 2 AM

Very useful for:

• monitoring,
• automated QA,
• audits,
• technical watch,
• proactive maintenance.

/browser

This command explicitly forces the use of the web browsing sub-agent.

The agent can then:

• navigate websites,
• interact with pages,
• test interfaces,
• perform research,
• inspect rendering.

Example:

/browser Test the mobile checkout flow

Very useful for:

• frontend QA,
• scraping,
• UI debugging,
• SEO verification,
• automated user testing.

🏗️ The Real Shift: From Prompting to Orchestration

Developers who perform best with AI agents are no longer just people who “write good prompts.”

They are people who know how to:

• orchestrate,
• frame problems,
• break down tasks,
• supervise,
• validate assumptions,
• control context.

/grill-me is interesting because it formalizes this mindset.

The developer does not become less important.

Quite the opposite.

Their role evolves toward:

• arbitration,
• clarification,
• architecture,
• strategic supervision.

The agent executes. The human pilots.

✅ When To Use /grill-me

Use it systematically for:

• complex architectures,
• e-commerce modules,
• business workflows,
• API integrations,
• multi-service systems,
• migrations,
• AI projects,
• automation pipelines,
• anything where bad assumptions are expensive.

❌ When Not To Use /grill-me

It’s unnecessary for:

• a tiny isolated function,
• a trivial bug fix,
• a highly constrained task,
• a simple mechanical operation.

In those situations: /goal will usually be faster.

🎯 Conclusion

The biggest risk with AI agents is not that they code poorly.

It’s that they code fast… in the wrong direction.

/grill-me acts like an intelligent safeguard:

• it intentionally slows down the beginning,
• to massively accelerate everything afterward.

And the more autonomous agents become, the more critical this clarification phase becomes.

Because in the end:

A very fast AI agent with bad assumptions is still… an error accelerator.

— Nicolas Dabène