Giant Context has AI built into every layer of the platform. Instead of starting from a blank page and building everything by hand, you can describe what you want in plain language and let the AI create it for you -- pages, forms, emails, knowledge base articles, and more.

The AI reads your branding, draws from your knowledge base, and generates content that looks and sounds like it belongs to your business. This guide covers the different ways to use AI content generation, how to get the best results, and when it makes sense to build things manually instead.

Console chat

The chat sidebar inside the Giant Context console is the most direct way to generate content. Open it from any screen and describe what you want in natural language. Instead of starting from a blank page and building everything by hand, you can ask for exactly what you need—like a signup page with a registration form—and the AI will build it as a connected draft.

Context-Aware Chat

The AI adapts to your current screen, offering full drafts or inline edits depending on where you are. Simply describe what you want in plain language, and Giant Context builds it without you ever starting from a blank page.

The chat is context-aware. It knows exactly which screen you are viewing and adjusts its behavior accordingly. This means you can use the chat in two distinct modes without having to switch contexts:

The Drafts System

Drafts are AI-generated content waiting for your review. When you ask Giant Context to create something — a page, a form, an email, or a knowledge base article — the result doesn't go live immediately. Instead, it enters the Drafts system.

Giant Context Drafts screen showing visual cards for generated items with a Ready status

Review Before Publishing

Every AI-generated page, form, or article lands in your Drafts with a "Ready" status. Review visual cards for each item, preview the results, and make surgical edits before anything goes live. If it misses the mark, simply reject the draft and try again.

Rejecting Drafts

When you reject a draft, the generated pages, forms, or other content are removed entirely so you don't end up with orphaned content in your project. The draft record itself stays in your list marked as "Rejected" so you maintain a complete history.

Multi-Item Generation

A single draft can contain multiple pieces of connected content. Giant Context supports multi-item generation to help you build complete workflows instantly. For example, if you ask the AI to "create a signup page with a registration form," the resulting draft will contain both the website page and the form. The AI intelligently sequences the work—building the form first and embedding it directly into the page so everything links up correctly. When you accept the draft, all connected items are promoted to your project together.

Mind Automation Engine

While chat answers questions and drafts generate specific requests, Mind acts as your autonomous content intelligence engine. It works proactively, continuously watching everything happening in your project. By analyzing your existing content, Mind identifies gaps and opportunities, automatically surfacing ideas for what you should create next.

The AI runs the marketing. You approve it.

Mind continuously analyzes your project's content to identify gaps and surface new ideas. It works across apps—noticing when a new feature page needs a corresponding knowledge base article, or when your email campaigns aren't promoting your latest blog posts. Simply review the proposals and approve the ones you want to generate.

You can configure how Mind analyzes your project to suit your workflow. Adjust the analysis intensity by choosing between three levels: off entirely, low for conservative suggestions, or high for thorough, multi-agent analysis. Additionally, you control the next steps for any approved ideas, deciding whether they automatically generate drafts or wait for your manual generation.

Drafts operate independently

You don't need Mind to use drafts. Drafts work independently as a core platform feature that any generation source can use.

How the AI uses your branding

Every piece of AI-generated content is automatically styled to match your project's unique identity. The AI reads your brand settings—including primary and secondary colors, typography, border radius, shadow intensity, and component styles—and applies them seamlessly across every generated element. You can configure these global design rules under Project > Branding.

Project Branding Settings

Configure your brand colors, typography, and design briefs to ensure all AI-generated content matches your visual identity.

How the AI uses your knowledge base

Giant Context's AI doesn't generate content in a vacuum. It draws directly from your project's knowledge base, website pages, and uploaded files to understand your business, products, terminology, and unique voice. This continuous intelligence layer ensures that every draft sounds like your brand, rather than generic filler.

Pro Tip: Upload Key Documents

The more content your project has, the more context the AI has to work with. Upload key documents like product specs, brand guidelines, competitive analysis, and marketing briefs to your project files early on. The AI ingests them automatically and uses them as context for everything it generates.

Tips for Writing Good Prompts

Giant Context weaves AI into every layer of the platform, letting you build complex assets by simply describing them in plain language. While you never have to start from a blank page again, the quality of your generated drafts depends heavily on how you frame your request. By mastering a few simple patterns, you can guide the AI to produce highly accurate, multi-item results—like generating a signup page and its connected registration form in a single prompt—that perfectly align with your brand voice.

Pro-tip: Combine content types when they are related

Drafts support multi-item generation. If you ask the AI to "Create a webinar registration page with a signup form", it will generate both pieces as a connected draft, linking the form and the page together from the start.

When to Use AI vs. Manual Building

Adopt a Hybrid Workflow

Maximize your efficiency by combining AI generation with manual refinement. Let the AI rapidly build your foundation, structure, and initial copy. Then, switch to the visual builder to fine-tune layouts, adjust spacing, and achieve pixel-perfect precision.

Common Questions & Troubleshooting

When you ask Giant Context to generate content, the result doesn't just appear instantly. Behind the scenes, every draft goes through a rigorous, multi-step quality check. The platform automatically scans for placeholder text, garbage characters, and common AI artifacts. Any issues are fixed surgically without needing to regenerate the entire section. By the time a draft reaches your review queue, it is polished, accurate, and ready for your approval.

By the time a draft reaches "Ready" status, it has already been reviewed and refined by the AI itself. Your review is the final human check before publishing.

Frequently Asked Questions

Before a draft reaches you, it passes through an automated QA process. Vision QA verifies layout and contrast, while Content QA surgically removes generation artifacts like 'Lorem ipsum', 'Click Here', 'Item 1', or garbage characters. The system fixes these issues precisely without regenerating the entire section.

Rejecting a draft completely removes the generated pages, forms, or other assets, ensuring your project stays free of orphaned content. The draft record itself remains in your list marked as 'Rejected' so you always have a history of your requests.

If the output doesn't match your vision, simply reject the draft and provide feedback. Refine your prompt with specific details about structure or messaging, and let the AI try again. This iterative process helps fine-tune the results to your exact needs.

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Using AI to Generate Content