Promptrepo

Product Introduction

1. Promptrepo is a platform that enables users to build, test, and deploy custom AI models for classification, data extraction, and content generation without requiring coding expertise. It integrates with Google Sheets for data management and offers a no-code interface for model creation, evaluation, and integration via API.
2. The core value of Promptrepo lies in its ability to simplify AI model development for non-technical users while maintaining accuracy through iterative improvements, seamless integration with existing workflows, and support for multiple AI architectures like OpenAI, Mistral, and LLaMA.

Main Features

1. Users can build no-code AI models directly within Google Sheets, allowing domain experts to train models using structured data without writing code or managing infrastructure.
2. The platform supports training and deploying fine-tuned models using OpenAI, Mistral, or LLaMA architectures, with one-click deployment and version control to track performance improvements over time.
3. Models can be tested through Google Sheets formulas, an intuitive forms-based UI, or API endpoints, enabling real-world validation before integration into apps or websites.
4. Built-in HIPAA compliance tools automatically mask protected health information (PHI) in emails and links, ensuring adherence to regulatory requirements for healthcare and legal use cases.
5. Customizable form embedding and workflow automation allow users to create AI-enhanced Google Forms for tasks like eSignature collection, PDF generation, payment processing, and order management.

Problems Solved

1. Promptrepo addresses the complexity of developing and maintaining AI models for non-technical users, eliminating the need for coding skills or dedicated engineering teams.
2. It targets domain experts in industries like healthcare, legal services, food ordering, and customer support who require task-specific AI models for data extraction, classification, or document generation.
3. Typical use cases include processing patient intake forms with eSignatures, extracting structured data from customer conversations, automating meal prep orders for weekly changing menus, and generating HIPAA-compliant documents from form responses.

Unique Advantages

1. Unlike traditional AI platforms, Promptrepo combines Google Sheets integration with no-code model building, enabling real-time collaboration and data management familiar to spreadsheet users.
2. The platform uniquely offers multi-architecture support (OpenAI, Mistral, LLaMA) within a single interface, allowing users to compare model performance and costs without switching tools.
3. Competitive advantages include built-in version control for AI models, preconfigured HIPAA compliance features, and native integration with Google Forms for rapid deployment of AI-powered workflows.

Frequently Asked Questions (FAQ)

1. How does Promptrepo ensure data security for sensitive use cases like healthcare?
   Promptrepo automatically masks PHI fields in emails and shared links, enforces role-based access controls, and complies with HIPAA standards through encrypted data storage and transmission protocols.

2. Can I integrate Promptrepo models with existing business apps?
   Yes, all models provide API endpoints for integration with websites, mobile apps, or internal systems, along with prebuilt connectors for Google Workspace, WhatsApp, and payment gateways.

3. What AI model architectures are supported for fine-tuning?
   The platform supports OpenAI GPT-4, Mistral 7B, and LLaMA 2 models, allowing users to select architectures based on accuracy requirements, inference speed, and operational costs.

4. How does version control work for AI models?
   Every model iteration is tracked with performance metrics and training data snapshots, enabling rollbacks to previous versions and comparison of accuracy across updates.

5. Can non-technical users evaluate model accuracy before deployment?
   Yes, users can test models using spreadsheet formulas in Google Sheets, simulate inputs through a form-based UI, or run batch predictions via CSV uploads to validate performance.