AI Tool Guide

Grok — The Complete Guide

Elon Musk’s AI, built into X (Twitter). Access to real-time information, a distinctive personality, and deep integration with one of the world’s largest social platforms. History, how to use it, prompts, and technical depth. Official sources only.

Grok xAI ~6,500 words Updated April 2026

What is Grok?

Grok is an AI assistant made by xAI, a company founded by Elon Musk. It is built into X (formerly Twitter) — meaning if you have an X account (formerly Twitter), you can access Grok directly within the app. It also has a standalone website at grok.com.

Grok stands out from other AI assistants in two ways: it has access to real-time posts on X, giving it information about events happening right now; and it has a more irreverent, witty personality than most AI tools.

When Grok makes sense

If you already use X (Twitter) regularly and want an AI that knows what is trending, what people are saying about current events, and can engage in more casual conversation — Grok is the natural choice. It lives where you already are.

Who made Grok and why?

xAI was founded by Elon Musk in July 2023, months after he left OpenAI’s board and publicly criticised the direction of AI development at other companies. Musk had co-founded OpenAI in 2015 and departed from its board in 2018. His stated reasons for founding xAI were to create an AI focused on “maximum truth-seeking” and to provide an alternative to what he described as overly cautious, politically biased AI systems.

Grok 1.0 launched to premium X subscribers in November 2023. The model was later open-sourced — Grok-1’s weights were released publicly in March 2024, making it one of the largest open-weight models released at the time (314 billion parameters).

The history of Grok

  • July 2023: xAI founded by Elon Musk and a team including former OpenAI, DeepMind, and Google researchers
  • November 2023: Grok 1.0 released to X Premium subscribers
  • March 2024: Grok-1 weights open-sourced under Apache 2.0 licence — 314B parameter MoE model
  • August 2024: Grok-2 released with improved capabilities and image generation (Aurora model)
  • 2025: Grok-3 released, xAI raises $6 billion funding round, Grok becomes available on grok.com independently of X
  • 2026: Grok-3 integrated more deeply into X, available for free to X users with usage limits

What Grok is best for

  • Real-time X/Twitter information — What is trending? What are people saying about [event]?
  • Current news and events — Access to live information
  • Casual, witty conversation — More relaxed personality than other AI assistants
  • Image generation — Via the Aurora model integrated into Grok 2+
  • General assistant tasks — Writing, answering questions, analysis
Try Grok for real-time X data
What are people on X saying about [topic/event] right now? Summarise the main perspectives, any notable posts or voices, and what the general sentiment seems to be.

Practical prompts for Grok

1. Real-time trend analysis
What is currently trending on X related to [topic]? Summarise the main discussions, key voices, and what is driving the conversation. Include any notable developments from the last 24 hours.
2. Explain a breaking story
A story about [topic] is breaking right now. What has happened? Who are the key people involved? What is the context I need to understand this? What are people saying on X?
3. Sentiment analysis of a topic on X
What is the general sentiment on X about [topic/product/person/event]? What are the main positive perspectives? The main criticisms? Any notable debates? Has the sentiment shifted recently?
4. Generate an image
Create an image of [describe the scene in detail — setting, subjects, mood, style, lighting]. Purpose: [what you will use it for]. Style preference: [photorealistic/illustrated/abstract/minimalist].
5. Deep research with real-time grounding
Research [topic] and give me a comprehensive current overview. Use both your training knowledge and live information from X and the web. Distinguish clearly between established facts and current developments. Flag where information might change rapidly.

Grok technical architecture

Grok-1 was a 314-billion parameter mixture-of-experts (MoE) model. MoE architectures route each input token through a subset of “expert” sub-networks rather than the full parameter set — achieving high effective capacity at lower inference cost than dense models of equivalent size. Grok-1’s weights were released under Apache 2.0 at github.com/xai-org/grok-1.

Grok-2 and Grok-3 architectures have not been fully disclosed. xAI’s Colossus supercomputer — built in Memphis, Tennessee, reportedly with 100,000 NVIDIA H100 GPUs in its first phase — was used to train Grok-3.

Primary sources

xAI (2024). Grok-1 model weights release. github.com/xai-org/grok-1
xAI (2024). “Grok-1 release.” x.ai/blog/grok-os
xAI (2024). “Announcing Grok-2.” x.ai/blog/grok-2

X data integration

Grok has access to X’s full post stream — the so-called “firehose” — giving it real-time information that no other major AI assistant has. This is a genuine differentiator: while other models have knowledge cutoffs and require web search to access current information, Grok’s X integration is architecturally native.

xAI API

from openai import OpenAI  # xAI uses OpenAI-compatible API

client = OpenAI(
    api_key="your-xai-api-key",
    base_url="https://api.x.ai/v1"
)

response = client.chat.completions.create(
    model="grok-3",
    messages=[{"role": "user", "content": "What is trending on X today?"}]
)
print(response.choices[0].message.content)

Full documentation: docs.x.ai