You will get a reliability audit and action plan for your AI automation workflow
Project details
I will audit one AI or automation workflow and turn the failure points into a practical reliability plan. The deliverables are a workflow/failure-mode map, a prioritized risk review covering retries, timeouts, duplicate effects and observability, a remediation plan, and a reusable test checklist. I focus on evidence from real inputs and logs, clear boundaries, and a handoff that another engineer can follow. Suitable for n8n, Make, Python/API workflows, LLM pipelines, and mixed automation stacks.
AI Algorithms
Large Language ModelAI Applications
AIOpsAI Development Language
PythonAI Models
ChatGPT, GPT-4What's included $149
These options are included with the project scope.
$149
- Delivery Time 3 days
- Number of Revisions 1
- Model Documentation
- Model Monitoring
- Model Testing & Optimization
- Prompt Engineering
Frequently asked questions
About Junya
AI Automation & Integration Specialist | n8n, Make, LLMs
Tokyo, Japan - 3:19 am local time
I build end-to-end AI automation systems — from identifying repetitive work to designing, implementing, testing, monitoring, and improving the final workflow.
My focus is not just creating a single automation. I build practical systems that connect AI, APIs, business tools, local infrastructure, and human approval steps into reliable workflows.
What I can build and deliver:
• AI automation and business workflow automation
• n8n and Make workflow design, implementation, and debugging
• AI agents and multi-step agent workflows
• LLM-powered applications and internal AI tools
• API, REST API, webhook, and third-party service integrations
• Automated data collection, transformation, classification, and routing
• AI-assisted lead processing and operational workflows
• Document and information processing pipelines
• Automated monitoring, alerts, retries, recovery, and approval flows
• Python scripts and custom automation utilities
• Local LLM deployment and private/local AI workflows
• Local AI readiness and compatibility assessments
• AMD ROCm environment setup and troubleshooting
• Linux-based AI and automation environments
• Android, Linux, and multi-device integrations
• Existing workflow audits, debugging, optimization, and reliability improvements
• AI automation architecture and implementation planning
I also build and operate AgentLink, an AI automation and integration platform connecting AI agents, APIs, Linux, Android, local AI models, approval systems, monitoring, recovery mechanisms, and multi-device operations. I maintain public automation/reliability tools with regression tests and CI as inspectable proof of implementation quality.
I can handle the full workflow: requirements analysis → architecture → implementation → testing → documentation → troubleshooting → optimization.
If you have a repetitive process but are not sure how to automate it, I can analyze the workflow and propose a practical implementation before building it.
I am a native Japanese speaker. My spoken English is basic, so I prefer written communication. I use AI-assisted translation for English communication when needed.
Steps for completing your project
After purchasing the project, send requirements so Junya can start the project.
Delivery time starts when Junya receives requirements from you.
Junya works on your project following the steps below.
Revisions may occur after the delivery date.
Reproduce and map the workflow
Review the supplied workflow, examples, and evidence. Map inputs, outputs, dependencies, success conditions, and known failure paths.
Audit reliability risks
Check retry behavior, timeouts, duplicate-effect risk, error handling, data validation, secrets exposure, monitoring, and recovery boundaries.