AI Proposal Writer
Next.js application helping agencies create professional proposals utilizing the Gemini API and client-side PDF generation.
Screenshots
Executive Overview
AI Proposal Writer is a hyper-focused SaaS workflow tool designed to eliminate the friction of client acquisition for digital agencies. By feeding minimal project parameters into the Google Gemini API, the system generates highly tailored, persuasive, and professional technical proposals in minutes, complete with offline draft persistence and localized PDF export.
The Problem
Freelance developers and boutique agencies waste unquantifiable hours writing custom proposals from scratch for every prospective client. This tedious manual process leads to inconsistent formatting, delayed responses to warm leads, and significant unbillable administrative overhead that chokes agency growth.
Technical Challenge
Structuring the prompt engineering pipeline to ensure the LLM generates professional, legally-sound business language rather than generic chatbot responses. Furthermore, ensuring that sensitive client financial data (budgets, proprietary project details) was handled with strict privacy constraints, preventing it from being logged or stored on external servers.
Solution Architecture
The application is a purely client-centric Next.js build. We utilize Next.js Server Actions exclusively as a secure proxy to communicate with the Google Gemini API, protecting our API keys while ensuring no database persistence occurs on our servers. State management for the multi-step wizard is handled by Zustand with aggressive LocalStorage persistence. PDF generation is executed entirely within the browser using React-PDF, guaranteeing zero-trust data privacy for the end-user.
Core Features
- Multi-step progressive disclosure wizard for complex data entry
- Context-aware proposal generation powered by Google Gemini Pro
- Client-side PDF compilation ensuring absolute data privacy
- Aggressive local draft persistence preventing accidental data loss
- Inline rich-text editor for manual fine-tuning of AI outputs
Key Engineering Decisions
Client-Side PDF Compilation
Instead of utilizing server-side headless browsers like Puppeteer to generate PDFs (which is computationally expensive and poses privacy risks), we implemented React-PDF. This calculates layout and renders the PDF buffer entirely in the user's browser.
Zustand over Context API
Given the massive state tree required for a 10-step form wizard, React Context caused unnecessary re-renders across the entire application tree. Zustand allowed us to bind individual form fields to specific state slices, resulting in a perfectly smooth 60fps typing experience.
Technology Stack
Outcomes & Impact
- Reduced average proposal writing time from 2.5 hours to under 5 minutes
- Achieved a 100% privacy-compliant architecture with zero server-side data retention
- Increased user proposal output volume by 300% during the beta testing phase
Future Roadmap
- Integrate Stripe for automatic invoice generation directly from the approved proposal scope.
- Implement custom RAG so users can upload past successful proposals, teaching the AI to mimic the agency's unique brand voice.
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