You will get an audit and repair of your broken Make, n8n, or Zapier workflows
Project details
Your Make, n8n, or Zapier setup worked until it didn't. Now scenarios fail silently, leads slip through, and it's not clear which automation broke or why. I find the root cause and fix it, without guessing.
I audit first, then repair. Quoting a fix-everything price before seeing the real setup is guessing, and guessing is how these projects blow scope. So I map what you have, document what each automation should do versus what it actually does, and pinpoint where it breaks. Then I repair the priority failures and add error handling so the next break surfaces loudly instead of silently.
Common culprits I check: triggers matching on unstable fields, missing error branches, silent API timeouts, duplicate runs, and expired auth tokens that never alerted anyone.
I work 100% async, and for an audit that is a feature: you get documented findings you keep (a map, a register, a prioritized repair plan), not a verbal handoff that evaporates. Grant read access and I start mapping immediately.
Starter is a one-workflow health check. Standard maps and repairs your whole setup. Advanced adds hardening and alerting.
I audit first, then repair. Quoting a fix-everything price before seeing the real setup is guessing, and guessing is how these projects blow scope. So I map what you have, document what each automation should do versus what it actually does, and pinpoint where it breaks. Then I repair the priority failures and add error handling so the next break surfaces loudly instead of silently.
Common culprits I check: triggers matching on unstable fields, missing error branches, silent API timeouts, duplicate runs, and expired auth tokens that never alerted anyone.
I work 100% async, and for an audit that is a feature: you get documented findings you keep (a map, a register, a prioritized repair plan), not a verbal handoff that evaporates. Grant read access and I start mapping immediately.
Starter is a one-workflow health check. Standard maps and repairs your whole setup. Advanced adds hardening and alerting.
AI Algorithms
Large Language ModelAI Applications
AI Content Creation, AIOpsAI Models
ChatGPT, GPT-4What's included
| Service Tiers |
Starter
$149
|
Standard
$900
|
Advanced
$2,500
|
|---|---|---|---|
| Delivery Time | 3 days | 7 days | 14 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 - 5:14 pm 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 and diagnose
I take read access, map every scenario or zap, and document what each automation should do versus what it actually does, with the root cause of each break flagged.
Repair and harden
I fix the priority breaks first, then add error handling and alerting so future failures surface loudly in your inbox or Slack instead of dying silently.