Drafts
Drafts are AI-generated content waiting for your review. When you ask Giant Context to create something, whether it's a page, a form, an email or a knowledge base article, the result doesn't go live immediately. Instead, it lands in Drafts first. This acts as a staging area between the AI building your content and it officially becoming part of your project.
The Drafts list
Go to Drafts in the left sidebar for a complete overview of all your AI-generated content. Each item lands in the Drafts table first, giving you full control to review, refine or reject the output before publishing.
Accepting and rejecting drafts
Methods for creating drafts
Giant Context integrates AI at every layer of the platform, allowing you to generate content rather than starting from a blank page. Whether you are creating a single page or a connected set of forms and emails, all AI-generated content lands in Drafts for your review before going live.
There are three primary ways to initiate a draft:
- Manual generation: Describe what you want in plain language using the chat interface.
- Programmatic generation: Use the API or SDK (
POST /drafts/generate-new) to trigger drafts via integrations and automation. - Automatic generation: The Mind engine continuously analyzes your project and surfaces ideas for new content, which you can kick off with a single click.
Console chat
Track generation progress
When you ask Giant Context to create something, the AI begins drafting right away. You can monitor the status from kickoff to Ready, or navigate away and come back later to review the results.
Programmatic generation (API & MCP)
Mind autonomous engine
Rejected drafts are free. If a draft isn't what you're looking for, reject it and try again with a new prompt. There's no cost to rejecting. The generated content is removed, and you can iterate until you get the result you want.
Automated drafts from Mind Ideas
Giant Context includes an engine called Mind that runs continuously in the background. Rather than waiting for manual prompts, Mind analyzes your existing project content to identify gaps and surface opportunities for new material.
When you approve a proposed idea from Mind, it triggers the draft generation process. The AI begins building the requested content, placing the finished result directly into your Drafts queue for final review and publishing.
Training the Mind engine. Mind ideas include priority levels, such as Low for gap detection. Dismissing irrelevant ideas trains the engine to deliver more accurate proposals over time.
FAQ
The logic dialog
Every draft maintains a complete history of its generation process. Review the chat log to see the original request and track progress messages from kickoff to Ready.
Frequently asked questions
No, draft generation happens in the background. You can navigate away and come back when it's ready.
Consider using plain 'Accept' first to fine-tune the content in the editor and check mobile responsiveness before going live.
Use specific prompts with rich detail. Instead of 'Create a pricing page', specify the exact tiers, prices, and sections you want.
Yes, combine content types by asking for related content together, like 'a signup page with a registration form', to generate a connected multi-item draft.