You will get your broken AI automation or CRM workflow diagnosed and rescued
Rising Talent
Project details
You will get evidence-led diagnosis and repair for one broken AI automation or CRM workflow—not a vague audit and not a blind rebuild.
I debug live systems by tracing one event across every layer: trigger, webhook, authentication, transformation, model or tool call, database or CRM write, messaging, retry, and final user outcome. I isolate the smallest responsible component, document the evidence, repair the defined failure when included, and prove the result with acceptance tests.
This is built for workflows in GoHighLevel, Make, n8n, Twilio, voice AI platforms, custom APIs, Node.js, Python, and related CRM or messaging systems. The exact tools matter less than following the data and failure path without guessing.
Starter is diagnosis only. Standard repairs one defined failure. Advanced covers up to two related failures and adds reliability hardening such as duplicate protection, retries, logging, alerts, and a short observation window. New features, a full rebuild, additional workflows, vendor fees, and ongoing support are outside the base scope and quoted separately.
I debug live systems by tracing one event across every layer: trigger, webhook, authentication, transformation, model or tool call, database or CRM write, messaging, retry, and final user outcome. I isolate the smallest responsible component, document the evidence, repair the defined failure when included, and prove the result with acceptance tests.
This is built for workflows in GoHighLevel, Make, n8n, Twilio, voice AI platforms, custom APIs, Node.js, Python, and related CRM or messaging systems. The exact tools matter less than following the data and failure path without guessing.
Starter is diagnosis only. Standard repairs one defined failure. Advanced covers up to two related failures and adds reliability hardening such as duplicate protection, retries, logging, alerts, and a short observation window. New features, a full rebuild, additional workflows, vendor fees, and ongoing support are outside the base scope and quoted separately.
AI Algorithms
Large Language ModelAI Applications
AIOps, Natural Language UnderstandingAI Development Language
PythonAI Models
ChatGPTWhat's included
| Service Tiers |
Starter
$295
|
Standard
$750
|
Advanced
$1,500
|
|---|---|---|---|
| Delivery Time | 2 days | 3 days | 5 days |
Number of Revisions | 1 | 1 | 2 |
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.
Additional Revision
+$150
Additional workflow
(+ 2 Days)
+$500
Seven-day monitoring
(+ 7 Days)
+$350
45-minute live handoff
(+ 1 Day)
+$150Frequently asked questions
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ML
Michelle L.
Jun 12, 2026
B2B Email Outreach & Lead Generation Specialist (Healthcare Associations)
Excellent experience working with Brian. He was professional, communicative, and easy to work with from start to finish. His responsiveness and commitment to the project were greatly appreciated, and he consistently provided valuable support throughout the engagement. I would gladly work with Brian again and highly recommend him.
About Brian
AI Automation Systems | GoHighLevel, Voice AI, Make & n8n
Buckeye, United States - 3:58 am local time
My strongest fit is an agency or service business that already has demand but needs the technical delivery to work reliably: lead intake, CRM routing, appointment booking, follow-up, reporting, or an AI phone agent that cannot drop the handoff.
WHAT I BUILD AND FIX
• AI agents that take real actions in real systems, with approval gates and audit logs
• GoHighLevel workflows, pipelines, calendars, forms, custom fields and webhooks
• Make, n8n and Zapier scenarios with validation, logging and failure alerts
• Retell, Vapi and Twilio AI receptionists with live calendar booking and structured handoff
• Lead-form-to-CRM routing, qualification and owner notifications
• Appointment booking, reminders, no-show recovery and review workflows
• White-label fulfillment for agencies that keep the client relationship
VERIFIED PROOF
My Clearline receptionist has been verified end to end on live calls: caller triage, real calendar availability, a written calendar booking with issue and service address, confirmation SMS, and post-call data extraction. I also have a live Make scenario that validates a webhook, creates the GHL contact, runs structured AI triage, logs the run, rejects invalid payloads, and alerts on caught errors. Both are in my portfolio with recorded walkthroughs.
Recent Upwork work includes a delivered two-site GoHighLevel build with an automated content-to-social bridge that still runs unattended, and a funded three-phase AI operations system I am building now on a client's own hardware — private network only, encrypted at rest, with monitored services that alert his phone the moment anything fails silently.
HOW ENGAGEMENTS START
Bounded rescues and installs start with a written acceptance test, so you know exactly what "done" means before I begin. Multi-phase AI systems are scoped separately and delivered in funded phases, each ending in something you can test yourself, with documentation and a clean handoff.
I do not promise guaranteed revenue or invent client results. I make the technical system work, prove it with test evidence, and show your team how to operate it. I will also tell you when the simpler option is the right one — including when that means building less.
Message me with the tool, the failing handoff, and the result that must be true at acceptance. I will tell you the first thing I would test.
Steps for completing your project
After purchasing the project, send requirements so Brian can start the project.
Delivery time starts when Brian receives requirements from you.
Brian works on your project following the steps below.
Revisions may occur after the delivery date.
Reproduce and map the failure
I confirm the expected outcome, reproduce the problem, and trace one event across the full workflow.
Isolate the root cause
I correlate logs, payloads, configuration, credentials, timing, state, and downstream responses to identify the responsible component.