You will get n8n workflow audit and repair
Project details
I will diagnose or repair one existing n8n workflow using its sanitized export, execution evidence, sample input, and expected output. The goal is to identify the actual failure, make the smallest reliable correction, and verify the agreed execution path.
Starter provides a written audit with the likely root cause, affected nodes, risks, and prioritized recommendations. Standard includes implementation of the agreed repair and testing of one execution path. Advanced adds input validation, bounded retries where appropriate, clearer failure handling, duplicate-risk review, and handoff documentation.
You will provide the workflow JSON without embedded credentials, relevant error output, n8n version, hosting method, and sanitized test data. If connected-service access is required, use sandbox access or temporary least-privilege credentials.
Each package covers one n8n workflow. New business systems, multiple workflows, custom application development, paid API charges, production hosting, ongoing monitoring, and unrelated infrastructure work require separate scope. A repair cannot guarantee the availability or behaviour of third-party services.
Starter provides a written audit with the likely root cause, affected nodes, risks, and prioritized recommendations. Standard includes implementation of the agreed repair and testing of one execution path. Advanced adds input validation, bounded retries where appropriate, clearer failure handling, duplicate-risk review, and handoff documentation.
You will provide the workflow JSON without embedded credentials, relevant error output, n8n version, hosting method, and sanitized test data. If connected-service access is required, use sandbox access or temporary least-privilege credentials.
Each package covers one n8n workflow. New business systems, multiple workflows, custom application development, paid API charges, production hosting, ongoing monitoring, and unrelated infrastructure work require separate scope. A repair cannot guarantee the availability or behaviour of third-party services.
AI Algorithms
Large Language ModelAI Applications
AI Mobile App Development, Conversational AIAI Development Language
PythonAI Models
ChatGPTWhat's included
| Service Tiers |
Starter
$50
|
Standard
$125
|
Advanced
$250
|
|---|---|---|---|
| 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.
Fast Delivery
+$25 - $75
Additional Revision
+$30Frequently asked questions
About Joshua
AI Engineer | Python, FastAPI, RAG, Voice AI & n8n
Ikate, Nigeria - 3:59 am local time
Most of my work sits between a model and the rest of the product. That includes retrieving the right context, validating outputs, connecting APIs, handling retries and timeouts, and keeping a human approval step where an automated action should not run unchecked.
I can help with:
• Python and FastAPI backends for AI applications
• RAG and context-retrieval workflows
• Speech-to-text, voice, and multimodal integrations
• n8n automations with webhooks, validation, retries, and clear failure paths
• Model integration across OpenAI, Azure AI Foundry, Anthropic, Gemini, and compatible APIs
• Structured outputs, evaluation, logging, and fallback handling
Recent work includes Volyx Lens, a privacy-oriented macOS assistant that combines screen context, voice, and multiple model providers; asynchronous API and bot services; and an evaluation-focused football prediction pipeline.
I work best on projects where the AI feature needs solid engineering around it, not just a prompt. You can expect clear scope, maintainable Python, documented setup, and honest trade-offs about reliability, cost, and latency.
If you already have a workflow or prototype, send the current architecture and the part that is failing. I can help diagnose it, harden it, or rebuild only the pieces that need changing.
Steps for completing your project
After purchasing the project, send requirements so Joshua can start the project.
Delivery time starts when Joshua receives requirements from you.
Joshua works on your project following the steps below.
Revisions may occur after the delivery date.
Evidence and scope review
I review the workflow export, error evidence, expected behaviour, environment details, and sanitized test data.
Root-cause diagnosis
I trace the affected execution path and identify the likely root cause, risks, and required correction.