You will get a production-ready Claude or GPT AI feature integrated into your web app
Project details
Most “AI integrations” you can buy here are a single prompt and a JSON.parse. They demo well — and break in production.
You’ll get something different: a Claude or GPT feature designed like any other unreliable network dependency — with structured output, schema validation, retry logic, source-grounding, and observability built in.
I’ve shipped production AI features end-to-end, most recently ResumeCraftAI, where Claude extracts structured signals from messy user-submitted text. The methodology isn’t novel — it’s just rare on this platform: schema-first design, outputs grounded to source spans, and failure modes handled before they reach your database.
You’ll receive clean, typed code in your repo, tests in your CI, a runbook your team can actually use, and a feature that won’t crash at 2am because the model returned malformed JSON.
Same provider, same prompt — different reliability.
Free 24-hour scoping reply on every inquiry, even if we don’t end up working together.
You’ll get something different: a Claude or GPT feature designed like any other unreliable network dependency — with structured output, schema validation, retry logic, source-grounding, and observability built in.
I’ve shipped production AI features end-to-end, most recently ResumeCraftAI, where Claude extracts structured signals from messy user-submitted text. The methodology isn’t novel — it’s just rare on this platform: schema-first design, outputs grounded to source spans, and failure modes handled before they reach your database.
You’ll receive clean, typed code in your repo, tests in your CI, a runbook your team can actually use, and a feature that won’t crash at 2am because the model returned malformed JSON.
Same provider, same prompt — different reliability.
Free 24-hour scoping reply on every inquiry, even if we don’t end up working together.
AI Algorithms
Multimodal Large Language Model, Transformer ModelAI Applications
AI Chatbot, AI Content Creation, AI Mobile App Development, AI Text-to-Speech, AI-Generated Video, Facial Recognition, Image Recognition, Machine TranslationAI Development Language
PythonAI Tools
Hugging Face, PyTorchAI Models
ChatGPTWhat's included
| Service Tiers |
Starter
$200
|
Standard
$600
|
Advanced
$1,500
|
|---|---|---|---|
| Delivery Time | 5 days | 10 days | 21 days |
Number of Revisions | 1 | 2 | 3 |
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 |
Frequently asked questions
About Pray
AI & Machine Learning | Vision Transformer, Gen AI Models, PyTorch
Bekasi, Indonesia - 2:08 pm local time
Steps for completing your project
After purchasing the project, send requirements so Pray can start the project.
Delivery time starts when Pray receives requirements from you.
Pray works on your project following the steps below.
Revisions may occur after the delivery date.
Discovery & schema design
I review your codebase, draft the output schema (Zod/Pydantic), and write the prompt with few-shot examples. You sign off on the schema before I write integration code — the schema is the contract.
Core integration build
Wire Claude or GPT into your API route with structured output, retry logic, source-grounding, and provider fallback. Code follows your existing conventions — no new frameworks dropped into your repo.