You will get a custom AI agent built with Claude or GPT, with validated outputs
Project details
Most AI agents demo well and break in production. The reason is almost always the same: nobody validated the model's output before something acted on it. That is the layer I build in from the start.
I build focused agents with Claude or GPT that do one job reliably. Every model response is checked against a schema, so a malformed or hallucinated field gets caught and retried instead of flowing downstream into your CRM, emails, or database. You also get retries with backoff, structured logging so failures are diagnosable, and cost control on the high-volume paths.
Typical builds: an agent that reads inputs, calls your tools and APIs, and returns structured output you can trust. RAG over your documents if you need retrieval. MCP or custom tools for when the agent needs to act, not just answer.
I work alongside Claude every day, so co-working with these models is how I operate, not something I am learning on your time. I map the prompt and validation logic in writing before building. 100% async, no call needed to start.
Starter is one validated single-task agent. Standard adds tool and API calls with retries. Advanced is a full production pipeline with support.
I build focused agents with Claude or GPT that do one job reliably. Every model response is checked against a schema, so a malformed or hallucinated field gets caught and retried instead of flowing downstream into your CRM, emails, or database. You also get retries with backoff, structured logging so failures are diagnosable, and cost control on the high-volume paths.
Typical builds: an agent that reads inputs, calls your tools and APIs, and returns structured output you can trust. RAG over your documents if you need retrieval. MCP or custom tools for when the agent needs to act, not just answer.
I work alongside Claude every day, so co-working with these models is how I operate, not something I am learning on your time. I map the prompt and validation logic in writing before building. 100% async, no call needed to start.
Starter is one validated single-task agent. Standard adds tool and API calls with retries. Advanced is a full production pipeline with support.
AI Algorithms
Large Language Model, Transformer ModelAI Applications
AI Chatbot, Conversational AIAI Models
ChatGPT, GPT-4What's included
| Service Tiers |
Starter
$399
|
Standard
$1,200
|
Advanced
$3,000
|
|---|---|---|---|
| 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 James
AI Automation Engineer | n8n, Make, Custom Agents & CRM Systems
New City, United States - 8:46 am local time
WHAT I BUILD:
→ Workflow automation & AI agents
• Custom Make, n8n, and Zapier pipelines that take repetitive operations off your team, with retry logic and error handling so they do not silently break.
• Browser-based agents (Playwright plus LLM) for processes too nuanced for no-code tools.
• Custom Claude Code skills and MCP servers: bespoke AI agents that plug into your specific stack.
→ CRM & systems integration
• CRM builds and cleanups (Attio, HubSpot, GoHighLevel) with clean data models and segmentation.
• Lead routing, enrichment, and follow-up automations wired across Stripe, Calendly, Sheets, and your email tools.
• Dedupe, suppression, and re-engagement logic so your pipeline stays clean.
→ Email & content systems
• Weekly newsletter ghostwriting in your voice (recent anonymized: 31% to 48% open rate in 90 days; 2k to 11k subs in 4 months).
• Onboarding, nurture, and sales sequences (22% trial-to-paid lift on a recent rebuild).
• Content engines: one weekly input from you becomes a newsletter plus 5 repurposed social posts.
→ AI visibility (GEO/AEO)
• Got my own site's AI citations (ChatGPT, Claude, Perplexity, Gemini) up 24x in under 4 weeks.
HOW I WORK:
• Async-default. Send raw thoughts (text, voice memo, or Loom) and I deliver inside 48 hours.
• I map the build in writing before I touch anything, so we agree on scope and edge cases up front.
• I ship in days, not weeks. First working version is usually inside week one, so we tune from reality rather than spec docs.
WHAT I WON'T DO:
• Vague-scope projects with no defined success criteria.
• Heavily regulated industries I can't get smart on (legal, medical, regulated finance).
• Brittle one-off hacks. If it cannot be maintained after I hand it off, I build it differently.
If you have a workflow, CRM, or automation problem eating your team's time, message it to me and I'll come back within a few hours with a written outline of how I'd build it. No call needed to get started.
Steps for completing your project
After purchasing the project, send requirements so James can start the project.
Delivery time starts when James receives requirements from you.
James works on your project following the steps below.
Revisions may occur after the delivery date.
Map the agent and validation
I map your task, the tools and APIs involved, and the success criteria in writing, then design the schema each model response must pass before anything acts on it.
Build and validate
I build the agent with Claude or GPT, wire in your tools, and add schema validation, retries, and logging so bad outputs get caught and retried, not shipped.