You will get OpenAI / Anthropic API Integration into Your Existing App
Project details
You'll get a production AI feature wired into your existing app — summarization, classification, drafting, extraction, whatever's on your roadmap. Three departures from the direct-API tutorial: prompt caching at the integration layer (cuts cost 30-50% on repeat calls), fallback model routing (Claude outage doesn't take down your feature), structured-output validation with retry (malformed JSON never reaches your UI).
Senior full-stack engineer with production LLM integration experience for SaaS teams from 5 to 500. Stack-agnostic — Python, TypeScript, PHP, Go.
Scope locks at Phase 1 sign-off, calendar days lock at purchase, price is fixed upfront — no hourly drift.
Senior full-stack engineer with production LLM integration experience for SaaS teams from 5 to 500. Stack-agnostic — Python, TypeScript, PHP, Go.
Scope locks at Phase 1 sign-off, calendar days lock at purchase, price is fixed upfront — no hourly drift.
AI Algorithms
Large Language Model, Transformer ModelAI Applications
Conversational AI, Natural Language Generation, Sentiment AnalysisAI Development Language
PythonAI Models
ChatGPT, GPT-4What's included
| Service Tiers |
Starter
$900
|
Standard
$2,200
|
Advanced
$4,500
|
|---|---|---|---|
| Delivery Time | 5 days | 10 days | 14 days |
Number of Revisions | 2 | 3 | 5 |
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.
Fast Delivery
+$400 - $1,200
Additional Revision
+$200
Additional AI endpoint
(+ 3 Days)
+$600
Self-hosted LLM deployment
(+ 5 Days)
+$1,500
30-day post-launch tuning
+$1,000Frequently asked questions
About Philip
AI Engineer & Full-Stack Developer | Claude, MCP, AWS Bedrock | 15+ Yr
Highlands Ranch, United States - 12:04 am local time
Where I focus:
• AI integration & agentic systems — Claude and LLM integration in production apps, MCP server work, multi-agent orchestration. 7 Anthropic certifications including Claude API, MCP, and Claude Code, plus AWS Bedrock AgentCore.
• Full-stack web development — Laravel, Next.js, React, TypeScript, Node.js. Production SaaS platforms, client portals, dashboards, e-commerce. One recent platform ships with 2,700+ automated tests.
• AWS infrastructure & DevOps — 165 AWS certifications. EC2, ECS, RDS, Lambda, IAM, VPC, CloudWatch. CI/CD with GitHub Actions. Ubuntu/Linux server administration.
• Technical audits & code reviews — 19-category framework covering security, performance, code quality, database health, accessibility, and DevOps/CI-CD, with objective 1–5 scoring and remediation plans.
Background: 15+ years shipping production software. Most recently founded ScopeForged after a long tenure as Director of Development at Cairnstack Software, where I owned architecture, hiring, code review, and the full delivery lifecycle for an inventory management SaaS platform.
Open source: 587 published packages across 8 ecosystems (npm, PyPI, Go, cratesio,
NuGet, RubyGems, Composer, Maven Central) with 10M+ downloads. Mostly small, focused TypeScript libraries — HTTP clients, retry/circuit breakers, schema validation, observability tooling.
How I work: Fixed-scope milestones, clear communication, written deliverables at every step. Happy to start with a paid technical audit so we can verify fit before committing to a larger build.
Available for: AI integration, full-stack builds, technical audits, system modernization, infrastructure work, and ongoing maintenance partnerships.
Steps for completing your project
After purchasing the project, send requirements so Philip can start the project.
Delivery time starts when Philip receives requirements from you.
Philip works on your project following the steps below.
Revisions may occur after the delivery date.
Kickoff & access confirmed.
30-min kickoff (optional Starter, required Advanced), requirements form submitted, repo access provisioned, sample inputs/outputs collected.
Phase 1 — design document delivered.
Endpoint shape, prompt design with examples, model/fallback strategy, cost projection, open questions for your sign-off. One revision round before build.