You will get fix broken AI workflow automations using ChatGPT or Claude APIs
Project details
AI-powered automation is one of the most exciting developments in business workflow but when a ChatGPT or Claude API integration breaks, it's often cryptic and frustrating to debug. Error codes like 429 (rate limit), 401 (invalid API key), 500 (server error), or simply a workflow that returns blank or garbled AI responses can grind your AI automation to a halt.
I specialize in diagnosing and repairing broken AI workflow integrations whether the AI component lives inside a Make scenario, a Zapier workflow, a custom API chain, or a direct HTTP module restoring reliable, accurate AI-powered automation to your business processes.
Common issues I fix include:
Expired or misconfigured OpenAI/Anthropic API keys
Incorrect API request formatting (wrong headers, malformed JSON body)
Prompt engineering errors causing blank, truncated, or incorrect AI responses
Token limit overflows crashing the workflow
Model deprecation errors (e.g., using a retired GPT model)
AI response parsing failures where downstream steps can't read the output
Rate limiting and retry logic failures causing workflow interruptions
Broken connections between AI API calls and the rest of the automation chain
I specialize in diagnosing and repairing broken AI workflow integrations whether the AI component lives inside a Make scenario, a Zapier workflow, a custom API chain, or a direct HTTP module restoring reliable, accurate AI-powered automation to your business processes.
Common issues I fix include:
Expired or misconfigured OpenAI/Anthropic API keys
Incorrect API request formatting (wrong headers, malformed JSON body)
Prompt engineering errors causing blank, truncated, or incorrect AI responses
Token limit overflows crashing the workflow
Model deprecation errors (e.g., using a retired GPT model)
AI response parsing failures where downstream steps can't read the output
Rate limiting and retry logic failures causing workflow interruptions
Broken connections between AI API calls and the rest of the automation chain
Machine Learning Tools
ChatGPT, Cloudera, Google Sheets, GPT-3What's included
| Service Tiers |
Starter
$60
|
Standard
$120
|
Advanced
$180
|
|---|---|---|---|
| Delivery Time | 1 day | 3 days | 6 days |
Number of Revisions | 1 | 2 | 3 |
Number of Model Variations | 1 | 2 | 3 |
Number of Scenarios | 1 | 2 | 4 |
Number of Graphs/Charts | 1 | 1 | 0 |
Model Validation/Testing | - | - | |
Model Documentation | - | - | |
Data Source Connectivity | - | - | - |
Source Code | - | - | - |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$35
Additional Scenario
(+ 1 Day)
+$35
Model Documentation
+$40Frequently asked questions
About Temiloluwa
Lead Generation Automation Specialist | Make. com & n8n Expert
Benin City, Nigeria - 12:27 am local time
If your team is still copying leads out of Apollo by hand, triggering follow-ups manually, or losing prospects because your data lives across three tools, that's not a workflow problem. That's a revenue problem. And it compounds every day you leave it running the way it is.
I build and maintain outbound prospecting systems for SaaS founders, real estate agencies, marketing agencies, e-commerce brands, and B2B consultants. Using Make .com, n8n, Zapier, and Claude AI, I connect your lead sources, CRM, and outreach into one automated system that captures, enriches, sequences, and tracks prospects without manual input.
The difference between what I build and a basic Zapier zap is the intelligence layer. I use Claude AI to score leads, generate personalized outreach copy, and route prospects based on behavior so your pipeline isn't just automated, it's actually smart.
A marketing agency was spending 14 hours a week manually pulling leads from Apollo, enriching them in Google Sheets, and copy-pasting into HubSpot before triggering sequences. Two people. Still broke constantly.
I built a Make .com pipeline that automated the entire flow Apollo scrape to Google Sheets enrichment to HubSpot CRM sync to email sequencing with Claude AI generating personalized first-line copy per prospect. That 14-hour weekly process now runs in under 40 minutes, completely hands-free.
Most automation freelancers build and disappear. You're left with a scenario you don't understand, no documentation, and no one to call when it breaks before a big outreach push. I build and maintain every system I deliver documentation, error handling, and ongoing support included.
Here's what I build:
Apollo → CRM Lead Scraping —pull targeted prospect lists from Apollo directly into HubSpot, Airtable, or Google Sheets automatically
AI-Powered Outreach Personalization —Claude AI writes unique first-line copy per prospect based on role, company, or LinkedIn activity
Make .com Lead Generation Pipelines —end-to-end scenarios that capture, enrich, deduplicate, and route leads into your sales stack
n8n Cold Email Automation —self-hosted outreach sequences with conditional logic, follow-up timing, and reply detection
GHL Lead Scraping & Nurturing —GoHighLevel pipeline automation for agencies running high-volume outbound
Zapier Email Sequencing Automation —multi-step Zaps connecting your lead source, CRM, and email tool seamlessly
Google Sheets CRM Automation —real-time lead tracking and pipeline management without a full CRM
HubSpot Email Outreach Automation —contact creation, deal updates, and sequence enrollment triggered automatically
Lead Capture Workflow Automation —form and ad leads routed instantly into your outreach sequence
Airtable Lead Database Automation —structured lead management with automated enrichment and status sync
Automation: Make .com · n8n · Zapier CRM & Outreach: HubSpot · GoHighLevel · Apollo Data & Storage: Airtable · Google Sheets AI Layer: Claude AI — lead scoring, copy generation, intelligent routing
How I work with clients:
Audit — map your current process, find where leads drop, confirm tool connections needed
Build — automation built in Make .com, n8n, or Zapier with error handling and AI layer
Test & Hand Over — run against real data, fix edge cases, deliver full documentation
Maintain — I stay on. When something breaks or needs scaling, I already know the system.
Across 20+ builds over 10 months, every project has been outbound lead gen specifically not generic ops automation. Apollo scraping, HubSpot outreach automation, Google Sheets CRM pipelines, AI-powered prospecting. That's all I do.
If you're spending 5+ hours weekly on manual prospecting tasks your stack should handle that's exactly what I fix. Send me a message describing your setup and where it's breaking. If you need a Make .com lead generation specialist or a Zapier email sequencing automation specialist who builds systems that keep running, I'm your guy. Let's talk.
Steps for completing your project
After purchasing the project, send requirements so Temiloluwa can start the project.
Delivery time starts when Temiloluwa receives requirements from you.
Temiloluwa works on your project following the steps below.
Revisions may occur after the delivery date.
Access & Review
Access your automation platform and review the AI workflow structure, API call configuration, and execution history
Diagnosis
Identify whether the failure is in the API key, request formatting, prompt structure, response parsing, token limits, or downstream data handling