Prompts for Grok: be direct, ask for checks

Templates that ask Grok for concrete outputs and quick validation steps.

Last updated: November 9, 2026 · Markdown version

What changes with this model

Even if prompt structure is similar, each model has biases: some follow strict instructions better, some are more creative, and some need examples. These templates are designed to reduce ambiguity and improve consistency.

Recommendation: define output format (ideally with a checklist), add constraints, and if you need precision, use few-shot or require strict JSON.

Strict JSON Few-shot Hallucinations

Current models Promptea supports

Data taken from each provider’s official documentation; every entry shows the date it was last verified.

Grok 4.7

default

The most capable Grok (Sep 2026) and xAI's recommendation for code and chat (500k context). Direct tone; define tone and informality for best results.

Context window: 500K tokens
Max output: — tokens
Input / output: text, image / text
Latency: balanced
Structured output: yes
Tool use / native search: yes / yes

How to prompt it: Reasoning can't be turned off: reasoning_effort runs low to xhigh (default high) — lower it for latency-sensitive agents. Put stable content first and the question last, enable web/X search for current events, and specify tone — it is direct by default.

Verified on September 24, 2026 · official source

Grok 4.3

Grok with a 1M-token context at a lower price. Useful for long material; separate source text from instructions.

Context window: 1M tokens
Max output: — tokens
Input / output: text, image, pdf / text
Latency: fast
Structured output: yes
Tool use / native search: yes / yes

How to prompt it: reasoning_effort supports 'none' (default low): use it for fast replies and raise it when reasoning is needed. For long documents, separate source material from instructions with XML tags or headings, and keep a stable prefix to exploit caching.

Verified on September 24, 2026 · official source

Grok Build 0.1

Agentic-coding-specialized Grok (powers the Grok Build CLI; also serves the grok-code-fast-1 alias). Ask for correctness criteria and edge cases.

Context window: 256K tokens
Max output: — tokens
Input / output: text, image / text
Latency: fast
Structured output: yes
Tool use / native search: yes / no

How to prompt it: Point it at the specific files and sections relevant to the task instead of dumping the whole repo — irrelevant context degrades it. Structure goals, constraints, and context with headings or XML tags, state explicit correctness criteria, and iterate in small diffs.

Verified on September 24, 2026 · official source

Quick tips

Keep the ask direct: task + constraints + format.
Request a short sanity-check section (assumptions, risks).
Prefer concrete deliverables (bullets, diff, checklist).

Templates

Fast critique (assumptions)

Critique this plan.
Return:
- 5 assumptions
- 5 risks
- 3 alternatives
Plan:
"""[paste]"""

Opens the analyzer with the prompt prefilled.

Open in Promptea

Code bug triage

Bug report:
Expected:
Actual:
Logs:
Code snippet:

Return:
- most likely cause
- 3 checks to confirm
- fix suggestion

Opens the analyzer with the prompt prefilled.

Open in Promptea

FAQ

Why ask for sanity checks?

It forces the model to surface assumptions instead of confidently inventing missing context.