Draftwise
One Query. Three Agents. One Verified File.
A multi-agent document intelligence platform for students, researchers, founders, and professionals. Draftwise turns a natural-language request plus reference files into a structured, citation-aware document that is composed, reviewed, revised, quality-scored, and delivered as one finished file.
Why First-Draft AI Is Not Enough
Producing a genuinely polished report with a single AI model still requires multiple rounds of manual prompting, fact-checking, and structural revision. Users must find weaknesses themselves or cross-check drafts across several disconnected tools.
specialist agents in every quality pipeline
required improvement before certification
maximum controlled revision rounds
Raw First-Draft Output
General chat tools surface the first model response before gaps in reasoning, structure, or evidence have been independently reviewed.
Manual Prompt-and-Fix Cycles
Users repeatedly rewrite prompts, request corrections, and compare versions before a document is ready for real use.
No Independent Quality Gate
A single model is asked to generate and judge its own work, with no separate reviewer checking unsupported claims or internal inconsistencies.
Fragmented Cross-Checking
Moving content between multiple AI products makes revision history, citations, and quality decisions inconsistent and difficult to trace.
A Built-In Draft, Review, and Approval Loop
Draftwise routes one brief through three cooperating agents: Scribe composes, Referee challenges the draft, and Arbiter verifies measurable improvement. The internal review loop stays visible through concise activity updates, while the user receives only one certified, downloadable final file.
Natural-Language Document Brief
Request a market analysis, literature review, board memo, PRD, research paper, or professional report in plain language.
Reference File Attachments
Attach source material directly to the brief so the agent pipeline can ground the document in the user’s own context.
Scribe — A1 Composer
Creates the complete baseline draft, covers the full brief, and produces every revision requested by the review agent.
Referee — A2 Critique
Checks accuracy, clarity, structure, evidence, and completeness while remembering prior feedback across revision rounds.
Arbiter — A3 Approver
Joins from round three, compares the candidate against Draft 1, and certifies the file at 85% improvement or round seven.
Visible Agent Activity
Shows short, non-technical progress updates, consulted sources, current agent status, and the active review round.
Single Verified Output
Delivers exactly one final file with its filename, page count, rounds, improvement score, and a clear download action.
Professional File Formats
Supports decision-ready outputs such as DOCX and PDF for research, strategy, education, and internal business use.
See It In Action
Intuitive interface designed for optimal user experience and maximum productivity
A certified final document with page count, improvement score, review rounds, quality summary, and download action
Technical Excellence
Built with production-ready technologies and enterprise-grade architecture patterns for scalability, security, and compliance.
Agent Pipeline
- Scribe / A1
- Referee / A2
- Arbiter / A3
Agent Tools
- Web Research
- Code Execution
- File Writing
Outputs
- DOCX
Compose & Revise
- • Complete first draft from one brief
- • Reference-aware document planning
- • Structured revision execution
- • Draft 1 retained as quality baseline
Critique & Memory
- • Structured review notes or pass decision
- • Accuracy and evidence checks
- • Full revision-history memory
- • No repeated feedback across rounds
Approve & Deliver
- • Arbiter enters from round three
- • Candidate compared with Draft 1
- • 85% improvement quality gate
- • One downloadable final file per query
Results & Impact
Production-ready platform delivering measurable improvements and real-world impact.
Key Achievements
One-File Product Discipline
Every request resolves into a finished downloadable artifact rather than an open-ended chatbot response.
Transparent Multi-Agent Review
Makes the internal quality process understandable through live agent roles, rounds, sources, and concise activity updates.
Predictable Quality Loop
Bounds generation at seven rounds while allowing approval as soon as measurable improvement reaches the required threshold.
Research-First Use Cases
Prioritizes citation-aware reports, briefs, papers, specifications, and professional documents where quality matters.
Turn One Brief into One Verified File
Let Draftwise compose, challenge, improve, and certify your next research or professional document before you download it.