The "Blank Page" Problem is Solved. Now What?

"Okay, the AI generated a draft. But I need to change the third paragraph, add a user type, and make the tone more professional."

Generative AI is amazing at getting you from 0 to 1. But getting from 1 to 10—the refinement phase—is where most chat interfaces fail. You end up copy-pasting text back and forth, losing version history, and explaining the same context over and over.

We believe AI shouldn't just be a writer. It should be an editor.

Feature 1: Wizard Context Refinement

When you are setting up your project in the Wizard, uDocit generates a lot of data: user types, core journeys, features. Sometimes it nails it. Sometimes it needs a nudge.

Now, you can select any generated result and seamlessly "feed" it back to the AI as context.

Screenshot of Wizard Flow Chat showing selection of generated results as context — Select what you like, and ask the AI to refine the rest.

Instead of saying "Rewrite the user types," you can say:

"Keep the 'Admin' user type as is, but split 'Customer' into 'Guest' and 'Registered User'."

The AI knows exactly what you are referring to because the context is pinned right there in the chat.

Feature 2: Project Copilot

Once your project is built, the documents get complex. You have a PRD, User Stories, timelines, and risk assessments. Asking a generic chatbot "How is my project?" usually gives a generic answer.

Our new Project Copilot lives inside your project workspace. It sees what you see.

<p className="text-sm text-muted-foreground text-center mb-8"> Watch how to ask global questions and edit artifacts directly. </p>

You can:

Ask global questions: "Do our User Stories cover the 'Guest Checkout' feature?"
Add artifact context: Click to attach your "Risk Assessment" doc to the chat.
Request direct edits: "Rewrite the Acceptance Criteria for Story #4 to be more strict."

The Context Loop

Why does this feel better than ChatGPT? Because of The Context Loop.

Infographic showing the circular flow of data between Document and AI — Your document is the source of truth. The AI is the worker. You are the director.

Document Content: The AI reads your live docs.
Context Selection: You pinpoint what matters.
AI Processing: Intelligence is applied specifically to your selection.
Smart Edit: The result is applied directly to the document, not just dumped in a chat window.

Analysis: The "Chat Amnesia" Problem

We've all been there. You have a long conversation with an LLM about your product. It writes a perfect User Story. Three days later, you come back to the same chat to write the next story. It has forgotten the persona. It contradicts the database schema you agreed on.

This is "Chat Amnesia." Standard chat interfaces have a Rolling Context Window. As you talk more, the oldest (and often most important) definitions fall off the cliff.

Comparison of a messy standard chat vs the clean uDocit editor — Stop fighting the scrollback. Start building a knowledge base.

uDocit solves this with Anchored Context. Because the AI is integrated into the document editor, the "Truth" isn't in the chat history. It's in the document itself. When you edit a feature, the AI looks at the current state of the PRD, not what you talked about last Tuesday.

Deep Dive: Editor-First Architecture

How does this actually work? We don't just send your text to an LLM. We built a Context Injection Layer.

Technical diagram showing how User Intent and Document Context flow into the LLM — We inject the right context at the right time, so you don't have to copy-paste.

When you ask for an edit:

Intent Analysis: We figure out if you are changing a structure (e.g., adding a column) or content (e.g., rewriting text).
Smart Retrieval: We pull relevant parts of your project (e.g., "Related User Stories") without sending the whole database.
Structured Output: The LLM returns a JSON patch, not just a blob of text.
Application: The editor applies the patch surgically.

This architecture is why uDocit feels like a tool, not a toy.

Chatbot vs Co-writer

Feature	Standard Chatbot	uDocit Co-writer
Memory	Session-based (Temporary)	Project-based (Permanent)
Output	Text Block (Copy-paste required)	Document Update (Direct application)
Context	User-provided (Manual)	System-injected (Automatic)
Hallucination	High Risk	Low Risk (Grounded in Spec)

A Note on Privacy

We know that Product Specs contain sensitive trade secrets. Your data is isolated. When we use AI features, your document context is sent securely, processed, and immediately discarded by the model. We do not train our models on your proprietary product data.

Try the new flow

These features are live in uDocit today. Start a new project to see the Wizard actions, or open an existing project to chat with the Project Copilot.

Launch uDocit →

Beyond Generation: Co-edit your Product Specs with AI