Document Writing

Real Workflow

This scenario doesn't work by "letting AI write a report from scratch"—it requires the user to already have a batch of scattered but real materials that need to be organized into deliverable documents.

Dimension	Real Situation
Trigger Point	Project review, client report, quarterly summary, proposal review requiring formal materials
Existing Materials	Project background, key data, meeting minutes, chat conclusions, existing PPTs or spreadsheets
Pain Point	Information scattered, structure undecided, tone and audience unclear, repeated format changes time-consuming
DesireCore Intervention	AI Copywriter first organizes outline, then generates drafts by chapter; data or charts can be delegated to Data Analyst when needed
Acceptance Result	Person in charge receives a reviewable document draft, then supplements facts, sets conclusions, adjusts tone

Recommended Agent

AI Copywriter — Suitable for reports, proposals, announcements, marketing copy and other text tasks; generates drafts according to your specified audience, tone and template.

Complete Conversation Example

You: I need to write a Q4 project summary report. The project is "Customer Management System Upgrade",
    mainly completed refactoring of three modules, performance improved by 40%, delivered 2 weeks ahead of schedule.

AI Copywriter: Okay, let me help you plan the structure of this report. Based on the information you provided,
        I suggest the following outline:

        I. Project Overview
        - Project background and objectives
        - Key metrics (40% performance improvement, 2 weeks early)

        II. Completed Work
        - Module A refactoring: specific improvements
        - Module B refactoring: specific improvements
        - Module C refactoring: specific improvements

        III. Key Achievements
        - Performance data comparison (before vs. after refactoring)
        - Delivery timeline analysis

        IV. Lessons Learned
        - What went well
        - Areas for improvement

        V. Next Steps

        Does this structure work for you? Which parts need adjustment?

You: The outline looks good. Please help me expand the "Completed Work" section,
    the three modules are User Management, Order System, and Data Reports.

AI Copywriter: Okay, here is the draft for the "Completed Work" section:

        II. Completed Work

        2.1 User Management Module Refactoring
        This refactoring migrated the user management module from monolithic architecture to microservices architecture.
        Main improvements include:
        - User query interface response time reduced from 800ms to 200ms
        - Supports paginated retrieval for million-level user data
        - Added user tag system for refined operations
        ...

        Should I continue with the other modules?

You: Well written, but make the tone more formal and add specific data metrics.

AI Copywriter: Adjusted to a more formal business style and added quantitative metrics...

Key Steps

1. Define Deliverable Audience — First clarify who the document is for: client, boss, review committee, archiving system; different audiences mean different structure and tone
2. Organize Fact Package — List project scope, deliverables, timeline, budget, key data, outstanding issues and lessons learned
3. Review Structure Before Writing — Confirm chapters cover background, completed work, result comparison, issues and next steps before expanding each section
4. Complete Evidence Chain — For each conclusion, add data, screenshots, links or sources to avoid just having nice words
5. Generate Versions by Use Case — The same materials can generate formal reports, summary briefs, email versions or archive versions

Final Deliverable

A complete, well-structured document draft with traceable factual basis, chapter logic and reusable versions. You can continue having the AI Copywriter supplement data, adjust tone, compress length or create presentation versions.

DesireCore Capabilities Used

• Super Document: View AI modifications in Diff format, accept, reject or continue editing each change individually
• Natural Language Teaching: Teach report templates, word prohibitions, writing styles to the AI Copywriter for future reuse
• Multi-Agent Collaboration: Data, charts, legal clauses etc. can be delegated to corresponding agents first, then integrated by AI Copywriter

Best Practices

• Provide background information, data, timeline and key people in your first communication; minimize having the agent fill in assumptions
• When dissatisfied with a paragraph, point out specific issues like "tone too casual", "lacks data support", "this section doesn't match facts"
• For charts, data conclusions or contract clauses, let corresponding agents process them first in Super Document mode, then have AI Copywriter integrate into the report
• Project summary documents should not just list "what was done"—also include whether scope was completed, timeline/budget deviations, outstanding issues and lessons learned