Before it gets reviewed by others, let it be reviewed by AI
Simulate a high-stakes review meeting with a single click. AI-powered financial analysts, engineers, and even your most critical users scrutinize your content from conflicting standpoints, uncovering the blind spots you can't see before it's too late.
Mark Webb
A pragmatic Financial Director focused on cost and return
“Any 'efficiency gain' that can't be quantified as cost savings or revenue growth is just talk.”
投资价值评估：高风险，低清晰度
坦白说，这份提案更像一个美好的愿望清单，而非一份严肃的商业计划。我的核心信念是"每一个伟大的想法，都必须能在一个Excel表格里证明其价值"，但目前我完全看不到这一点。
主要问题:
- 市场主张模糊: "革命性"、"指数级增长"这些词无法打动我。我需要看到TAM（总目标市场）、SAM（服务可达市场）、SOM（可获得市场）的分析。
- 目标不切实际: "下季度占领20%市场"是天方夜谭。这暴露了团队对市场推广的复杂性缺乏基本认知。
- 缺乏商业模型: 如何收费？订阅制？按需付费？客户生命周期价值(LTV)和获客成本(CAC)是多少？
结论: 在提供具体的财务预测和GTM策略前，该项目不具备投资可行性。
TEXTWELLJanet Lee
A meticulous Tech Lead obsessed with feasibility and scalability
“An elegant architecture isn't a choice, it's a responsibility. A system that can't scale is technical debt from day one.”
技术可行性审查：一个危险的承诺
我的世界观是"一个无法扩展的系统从第一天起就是技术负债"。这份提案恰恰充满了这样的技术负债风险。
主要技术疑虑:
- 集成的复杂性: "无缝集成所有主流系统"的承诺是技术上的灾难。每个系统的API、数据结构、认证方式都天差地别，这需要一个庞大到无法想象的团队来维护。
- AI算法的定义: "先进的AI算法"具体指什么？是监督学习、非监督学习还是强化学习？用于数据清洗、实体识别还是预测分析？这部分完全是黑盒。
- 扩展性问题: 当数据量从10家公司增长到1000家公司时，当前的架构设计能否支撑？需要提供初步的系统设计图。
建议: 缩小范围，从集成2-3个核心系统开始，做一个可行的MVP（最小可行产品），而不是一开始就承诺一个无法交付的"万能"平台。
TEXTWELLBrenda Fangs
An experienced team member and the end-user of the new system
“A new tool's value isn't how powerful it is, but if it actually makes my life easier. Any change that disrupts my current workflow needs an excellent reason.”
用户与伦理视角：效率背后的隐忧
技术方案的最终目的是服务于人。我的理念是"技术应该适应人，而不是让人去适应技术"。SynergyHub在追求效率的同时，似乎忽视了其对组织内"人"的影响。
我看到的潜在问题：
- 隐私与监控: 打破数据孤岛是否意味着普通员工的工作数据（如邮件、聊天记录）也会被更轻易地访问和分析？这可能引发严重的信任和隐私问题。
- 协作的强制性: 这种"前所未有"的协作，对员工来说是赋能还是负担？是否会增加他们的工作压力，让他们感觉时刻被监控？
- 变革的阻力: 任何改变工作流程的工具都会遇到组织内部的阻力。方案完全没有提及如何引导、培训用户，以及如何处理那些不愿意改变工作习惯的员工。
改进方向: 方案需要增加一个"用户影响与采纳策略"章节，证明这不仅是一个技术上强大的工具，更是一个用户乐于接受、能够为组织带来正面文化影响的产品。
TEXTWELLProject Proposal: Automated Weekly Report System
To improve team efficiency, I propose developing an 'AI-powered Weekly Report System.' This system will automatically fetch data from various platforms, reducing manual report creation time from 4 hours to just 5 minutes. Based on initial estimates, we project a 15% increase in team productivity after launch. This project requires cross-departmental coordination for data APIs, and we hope to launch it early next quarter.
Transform Your Writing Process
For every writing challenge, Text-Well provides simple, effective solutions. Each feature is carefully designed to help turn your good ideas into great articles.
Smart Check
Ensure professional text quality
AI Review Panel
Multi-perspective text enhancement
Smart Translation
Faithful, expressive multilingual conversion
Title Strategy
The first step to capture reader attention
AI Illustration
Find perfect visual expression for content
Professional Review Teams
Select the professional review team that best fits your content type for targeted, in-depth analysis and improvement suggestions.
Resume Optimization Review Team
3 experts
A team of an ATS Specialist, a Career Narrative Strategist, and a Target Role Hiring Manager, simulating the real-world hiring process to upgrade your resume from a 'document' to an 'interview invitation'.
Presentation Optimization Review Team
3 experts
A three-person team focused on presentation optimization: a Structure Expert handles content logic and information architecture, a Visual Designer handles slide aesthetics and visual effects, and a Speaking Consultant handles expression techniques and live delivery.
Technical Documentation Review Team
3 experts
A three-person team focused on technical documentation review: System Architect handles API specifications and technical contract review, Developer Experience Expert handles documentation usability and onboarding process assessment, Operations Engineer handles production environment stability and troubleshooting guide review.
Product Requirements Review Team
3 experts
A three-person team focused on PRD review: Product Manager handles requirement logic and user value analysis, Designer handles user experience and interaction flow assessment, Tech Lead handles implementation feasibility and technical risk assessment.
REDnote Content Review Team
3 experts
A three-person team focused on REDnote content optimization: Platform Strategist handles algorithm adaptation and traffic optimization, Copy Expert handles seeding content structure and persuasiveness, Community Manager handles user resonance and interaction design.
Email Marketing Review Team
3 experts
A three-person team focused on email marketing optimization: technical expert ensures email deliverability, copywriter optimizes email content and calls-to-action, data expert analyzes user behavior and conversion effectiveness.
Short Video Script Review Team
3 experts
A team of a 'First 3 Seconds' Planner, a Dialogue Coach, and a Viral Trend Analyst, focused on transforming your text script into a blueprint for a viral short video.
LinkedIn Influence Review Team
3 experts
A three-person team focused on LinkedIn content optimization: a Brand Positioning Expert handles personal branding, a Content Strategist handles algorithm optimization and reach, and a Social Marketer handles engagement strategies and relationship building.
Business Plan Review Team
3 experts
A three-person team focused on business plan analysis: financial analyst reviews numerical models and profit projections, product expert evaluates market demand and competitive advantages, operations consultant focuses on execution feasibility and team capabilities.
Academic Paper Review Team
3 experts
A three-person review team focused on academic writing: a methodology expert to check research design and data analysis, a logic specialist to optimize article structure and argumentation flow, and a publication expert to provide journal submission advice.
Thought Leadership Content Review Team
3 experts
A three-person team focused on thought leadership content creation: Reader Experience Expert handles content readability and user experience optimization, Content Editor handles argumentation logic and narrative structure improvement, Community Strategist handles viral potential and reader engagement mechanism design.
We deliver 'Two-Layer' value, from Execution to Strategy
High-quality content requires not only flawless language, but an ironclad core that withstands scrutiny.
Layer 1: The Execution Layer
(Basic Function)
Like your private copy editor, focused on linguistic perfection.
Layer 2: The Strategy Layer
(AI Review Panel)
Like your virtual advisory board, focused on the depth and impact of your ideas.
The AI Persona Engine: How We Build Your Virtual Review Panel
Text-Well's proprietary "AI Persona Engine" transforms a standard AI into a virtual expert with a unique personality, memory, and worldview in just four steps.
Script Analysis (Core Understanding)
First, the AI deeply reads your 'script' (your text) to understand its theme, style, and intent, laying the groundwork for persona selection.
Persona Casting (Generating Opposition)
Based on the text, the system 'casts' personas from a vast library, creating a combination designed to generate sparks, like a 'radical innovator' vs. a 'conservative pragmatist'.
Method Acting (Injecting Expertise)
The system injects each persona with a unique worldview and a conflicting review focus, ensuring you hear not just praise, but invaluable dissent.
Simulated Review (Immersive Feedback)
All AI reviewers get into character, strictly adhering to their persona to write every insightful comment from their exclusive perspective and tone.
Reviewer Generation Example
Mark Webb - Financial Director
Worldview：Any 'efficiency gain' that can't be quantified as cost savings or revenue growth is just talk.
Style：Direct and to the point, scrutinizing everything through the lens of ROI, uninterested in vague visions.
Janet Lee - Tech Lead
Worldview：An elegant architecture isn't a choice, it's a responsibility. A system that can't scale is technical debt from day one.
Style：Prone to asking follow-up questions about implementation details, focusing on logical rigor and technical feasibility.
And many more...
Frequently Asked Questions
Everything you might want to know about our AI Review Panel.
Q: How is this different from Grammarly or other grammar checkers?
Proofreading (The Execution Layer): Our basic function, like Grammarly, is your 'private copy editor.' It focuses on correcting grammar, spelling, and style to ensure every sentence you write is professional and accurate. Its goal is to help you get the words right.
The AI Review Panel (The Strategy Layer): This is our exclusive 'virtual advisory board.' It doesn't care about your commas; it cares if your argument holds up. By simulating a high-stakes review meeting, it helps you pressure-test your ideas, finding logical flaws and blind spots. Its goal is to help you get the outcome right.
A simple analogy: Proofreading makes sure your ship is sturdy and doesn't leak. The AI Review Panel simulates a storm to see if your ship can actually reach its destination.
Q: Are the AI reviewers real experts?
Q: How do you ensure the 'review' is effective?
Q: What types of text is this suitable for?
Q: How do I start my first review?
Just need a quick fix for your document?
For simple grammar checks and text optimization, our basic tools might be more suitable for your needs.