You will get a clear AI app architecture and MVP plan
Project details
If you have an AI app idea, early prototype, or half-built product and are not sure what to build next, this review gives you a practical technical plan before you spend more money on development.
I will review your product goal, current stack if you have one, AI/API requirements, user flow, backend needs, auth, data model, deployment path, and major risks. The goal is to help you understand what should be built first, what can wait, what might break later, and what a realistic MVP path looks like.
Good fit for OpenAI-powered apps, AI workflow tools, mobile/web MVPs, internal assistants, SaaS prototypes, and founder-led product builds.
My background includes AI phone assistant work with OpenAI Realtime and Twilio, AI prioritization dashboards with structured outputs, Firebase-backed mobile/web products, Stripe flows, and full-stack MVP architecture.
You can expect architecture recommendations, stack and integration guidance, AI/OpenAI workflow considerations, Firebase/auth/data/deployment/payment-flow feedback where relevant, and a written action plan you can use with me, another developer, or your own team.
This is a review and planning package, not a full app build.
I will review your product goal, current stack if you have one, AI/API requirements, user flow, backend needs, auth, data model, deployment path, and major risks. The goal is to help you understand what should be built first, what can wait, what might break later, and what a realistic MVP path looks like.
Good fit for OpenAI-powered apps, AI workflow tools, mobile/web MVPs, internal assistants, SaaS prototypes, and founder-led product builds.
My background includes AI phone assistant work with OpenAI Realtime and Twilio, AI prioritization dashboards with structured outputs, Firebase-backed mobile/web products, Stripe flows, and full-stack MVP architecture.
You can expect architecture recommendations, stack and integration guidance, AI/OpenAI workflow considerations, Firebase/auth/data/deployment/payment-flow feedback where relevant, and a written action plan you can use with me, another developer, or your own team.
This is a review and planning package, not a full app build.
AI Algorithms
Large Language Model, Multimodal Large Language Model, Transformer ModelAI Applications
AI Chatbot, AI Content Creation, AI Mobile App Development, AI Text-to-Speech, AI-Enhanced Classification, AI-Generated Code, Automatic Speech Recognition, Conversational AI, Natural Language Generation, Natural Language Understanding, Sentiment Analysis, Speech SynthesisAI Models
ChatGPT, GPT-4, OpenAI Codex, WhisperWhat's included
| Service Tiers |
Starter
$99
|
Standard
$199
|
Advanced
$349
|
|---|---|---|---|
| Delivery Time | 2 days | 3 days | 5 days |
Number of Revisions | 1 | 1 | 2 |
AI Model Integration | |||
Batch Normalization | - | - | - |
Database Integration | - | ||
Detailed Code Comments | - | - | - |
Image Upscaling | - | - | - |
MLOps | - | - | - |
Model Deployment | - | - | - |
Model Documentation | |||
Model Monitoring | - | - | - |
Model Testing & Optimization | - | - | - |
Model Tuning | - | - | - |
Natural Language Processing | - | ||
NLP Tokenization | - | - | - |
Pre-Training | - | - | - |
Prompt Engineering | - | - | - |
Setup File | - | - | - |
Source Code | - | - | - |
Optional add-ons
You can add these on the next page.
30-minute follow-up call
(+ 1 Day)
+$75
Extra codebase/module review
(+ 2 Days)
+$100
Extra architecture diagram
(+ 1 Day)
+$75Frequently asked questions
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PG
Pascal G.
Aug 3, 2023
Creating simple Google Cloud Functions for Firebase interactions
Nice work and deliveries like expected. Happy to offer some work again as soon as needed.
About Thomas
Full-Stack AI & Product Engineer
Kings County, United States - 4:14 pm local time
If you need a product-minded engineer who can define the architecture, make UX tradeoffs, write the code, debug the edge cases, and ship a polished MVP, that is the work I am best at.
What I can help with:
- Expo / React Native Web / PWA builds for mobile-ready product experiences
- OpenAI API integrations, realtime voice agents, and structured LLM workflows
- Firebase / Firestore / Cloud Functions, auth, storage, and backend cleanup
- Stripe payment flows, subscriptions, pledge mechanics, and checkout-adjacent product logic
- React / Next.js / TypeScript products with server APIs and practical data models
- Solana / Anchor smart contracts, SPL token flows, and wallet-connected dApps
- Rescue work on half-built apps, launch readiness, debugging, and pragmatic refactors
Selected builds from my portfolio/GitHub:
- Victoria: live AI phone assistant built with OpenAI Realtime, Twilio Media Streams, WebSockets, Node.js, and Express.
- FlowPath: private AI prioritization dashboard using Next.js, TypeScript, OpenAI structured outputs, Clerk, SQLite/libSQL, and Vercel-ready architecture.
- FairDeal.ai: AI-assisted buyer/seller deal room using Next.js, Prisma Postgres, OpenAI structured output, and Vercel.
- FlowTime: Expo/React Native Web accountability PWA with Firebase Auth/Firestore/Cloud Functions, proof uploads, group vow flows, and Stripe-backed pledge settlement.
- Blndr / Composite Vault: Solana composite-token protocol and Next.js dApp for basket-backed SPL assets using Rust, Anchor, and wallet flows.
- GoPulse Protocol: current Solana content-validation/rewards system made of two repos: `gopulse-core` for the Anchor/Rust program and `gopulse-dapp` for the interface.
- GoPulse Social News App: older, separate non-Solana social news product built with Angular/Ionic, Firebase, RSS/news integrations, and Stripe-related subscription flows.
- GoTube and GoPod: focused, recommendation-free consumer tools for intentional video and podcast consumption.
- FilmPulse and HeadlineHarmonies: AI media apps with conversational recommendations, streaming responses, image generation, and polished sharing/discovery flows.
Why clients hire me:
You are not hiring someone who only waits for tickets. I can help turn unclear product goals into a concrete build plan, choose the stack, keep sensitive API work server-side, structure the data, implement the UI, integrate services, and leave code that is understandable enough to keep extending.
Best fit: founders, small teams, and agencies that need a capable independent engineer for MVPs, production polish, AI features, mobile-ready web apps, payment-backed flows, Web3 prototypes, or cleanup/rescue work. I communicate plainly, scope honestly, and care about shipping software people can actually use.
Steps for completing your project
After purchasing the project, send requirements so Thomas can start the project.
Delivery time starts when Thomas receives requirements from you.
Thomas works on your project following the steps below.
Revisions may occur after the delivery date.
Review inputs and goals
I review your brief, requirements, current stack, AI/API needs, and any prototype, repo, or screenshots you shared.
Map architecture and risks
I outline the recommended stack, AI workflow, backend/data/auth/deployment concerns, MVP scope, and technical risks.