What this covers
I build production n8n workflows and AI agents that connect APIs, databases, business tools, and LLMs while accounting for errors, state, retries, and operational reliability.
- n8n workflow development for operations, sales, content, finance, and engineering teams
- n8n AI agents using OpenAI, Groq, Gemini, or Langflow for screening, drafting, scoring, and document parsing
- Self-hosted n8n on Docker or a VPS, with full control over infrastructure, execution, and scaling
- API integrations with Gmail, Google Calendar, Slack, ClickUp, Airtable, HubSpot, Google Sheets, and custom webhooks
- PostgreSQL integrations for state, audit logs, and dead-letter queues
Reliability patterns I use
Error Trigger subworkflows. Unhandled errors are routed to a dedicated workflow instead of failing silently.
Dead-letter queues. Failed payloads are stored in an indexed PostgreSQL table with the execution ID and original data, so they can be replayed once the upstream service recovers.
Retry with backoff. Calls to rate-limited APIs (HTTP 429/403) are retried with jittered exponential delays, and a circuit breaker stops retrying after repeated failures.
State machines. Multi-step processes move through explicit states, for example PENDING → IN_FLIGHT → PROCESSED or TRIPPED_DLQ, so concurrent runs can't leave a record half-updated.
Alert on change, not on every run. Notifications fire when state changes. On the profitability guardrail this was reported to cut notification noise by 95%.
Projects built with n8n
- Autonomous AI email agent: Gmail API, Groq, and thread-state memory
- Profitability guardrail: PostgreSQL budget state machine with Healthy → Warning → Critical transitions and a DLQ
- Competitor intelligence and SEO pipeline: competitor scraping, AI gap analysis, and ClickUp briefs
- Cloud cost sentinel: AWS Cost Explorer anomaly detection with AI diagnosis
- Cloud compliance engine: Docker sidecar audits and an n8n + PostgreSQL queue worker with row-level locks and backoff, processing 2,000+ questions with no timeout failures (reported)
Example: profitability guardrail
A state machine that alerts only when a project's budget state changes, with malformed payloads isolated in a dead-letter queue.
Common questions
How do you build reliable n8n workflows?
Assume every external call can fail. Store state outside the workflow, handle errors in a dedicated path, retry what is safe to retry, send everything else to a dead-letter queue, and alert on it.
How do you handle failed n8n executions?
An Error Trigger workflow captures the failure, stores the payload and execution ID in PostgreSQL, and alerts the team in Slack or ClickUp with a link to the trace. Once the cause is fixed, the stored payloads can be replayed.
Can you migrate from Zapier or Make.com?
Yes. Existing flows can be rebuilt in n8n, usually with better error handling than the original.