You will get an idempotency and duplicate prevention layer for automation workflows
Project details
Retries are dangerous when a timeout or worker restart can happen after the remote action already succeeded. I will harden one retry-sensitive webhook, API, AI-agent, notification, record-creation, or file-write path with a durable idempotency boundary. The delivery defines the business key and operation fingerprint, records execute/skip/conflict state, makes failed retries explicit, and includes verification notes so a restarted worker can distinguish completed work from work that is safe to run.
Testing Type
API TestingDevice
LinuxWhat's included $119
These options are included with the project scope.
$119
- Delivery Time 2 days
- Number of Revisions 0
- Summary Report
- Functionality Testing
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.
Define the idempotency boundary
Map the external side effect, business operation key, available identifiers, success evidence, timeout behavior, and the exact cases that must never execute twice.
Implement durable receipt decisions
Add or adapt a small receipt layer that returns explicit execute, in-flight skip, succeeded skip, failed stop/retry, and fingerprint-conflict decisions.