You will get I will automate your workflow in n8n with API integrations & error handling
Project details
I build n8n automations that actually survive production - not fragile demo
workflows that break on the first timeout.
I design event-driven workflows that trigger on a schedule or webhook, talk to
your tools over REST, and recover from their own failures. Every workflow I ship
includes real error handling: state locks for idempotency (so nothing runs twice),
success/error branching, retries, and alerts - so the system never fails silently.
What I can connect: Supabase/Postgres, Metricool, Telegram, Google Drive, Sheets,
OpenAI/Anthropic APIs, and most REST/webhook-based services.
I work from a clear brief and deliver a working, documented system you fully own,
then iterate on your feedback. If I see a better approach than what you asked for,
I'll tell you - instead of quietly building the wrong thing.
See my attached case study for live production systems I designed and run.
workflows that break on the first timeout.
I design event-driven workflows that trigger on a schedule or webhook, talk to
your tools over REST, and recover from their own failures. Every workflow I ship
includes real error handling: state locks for idempotency (so nothing runs twice),
success/error branching, retries, and alerts - so the system never fails silently.
What I can connect: Supabase/Postgres, Metricool, Telegram, Google Drive, Sheets,
OpenAI/Anthropic APIs, and most REST/webhook-based services.
I work from a clear brief and deliver a working, documented system you fully own,
then iterate on your feedback. If I see a better approach than what you asked for,
I'll tell you - instead of quietly building the wrong thing.
See my attached case study for live production systems I designed and run.
Programming Languages
JavaScript, Python, TypeScriptCoding Expertise
Performance Optimization, SecurityWhat's included
| Service Tiers |
Starter
$180
|
Standard
$420
|
Advanced
$850
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 8 days |
Number of Revisions | 1 | 1 | 2 |
Install Script | - | - | |
Test Script | - | ||
Task Automation |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$35
Additional Revision
+$20
Extra integration
+$45
30-day support
+$60Frequently asked questions
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JP
Jim P.
Jun 1, 2026
Meta Ads Creative (Premium Ecommerce – Video + Image Variations)
Very clear communicator and high standard of creativity. A learning for us both is that on AI projects the importance of clarifying detail before briefing and also work submission is key. However this was largely sorted with a very good result. Daniel is open, professional, creative and good to work with.
AO
Ayli O.
Apr 28, 2026
Senior AI Content Engineer / AI Influencer Builder (TikTok & Instagram Growth)
Great. Thank you.
About Daniel
AI Automation Engineer | n8n Workflows, AI Agents & RAG | Claude API
100%
Job Success
Eeklo, Belgium - 9:01 pm local time
I build the automation behind a business — the n8n pipelines, RAG agents, and API integrations that run in production and keep running when something breaks. Not demos. The boring reliability stuff — retries, idempotency, dead-letter queues — is the part that actually keeps a system alive.
Pipelines I build:
RAG knowledge bases & multi-agent systems — n8n orchestration with Claude as the reasoning layer, embeddings in Supabase pgvector, contextual retrieval + reranking so answers stay grounded instead of hallucinated.
Data & analytics pipelines — pull from multiple platform APIs on a schedule, normalize, and upsert into Postgres/Supabase, idempotent so a re-run never doubles your data.
Auto-posting & publishing pipelines — a queue in Supabase → n8n → platform APIs, multi-account, with retries, dead-letter queues, and Telegram alerts when something actually needs a human.
Claude/OpenAI API agents & assistants — model routing (a cheap model for triage, a stronger one for the hard calls), PII stripping, guardrails, document-connected knowledge bases.
End-to-end content/media pipelines — Node.js orchestration (Claude → voice → media gen → Remotion/FFmpeg assembly) with resume and retry logic, built as a system you run, not a one-off.
A few things I've shipped: a multi-agent "knowledge brain" for market and creative intelligence; a production auto-posting system running multiple branded accounts with full idempotency and retry; a suite of custom Claude/GPT assistants delivered for a client on a clean two-file architecture (instructions + curated knowledge base); and an AI character I grew from zero to 320K+ views on a single post with no paid promo.
Stack: n8n, Supabase/PostgreSQL (pgvector, RLS), Node.js (ESM), Python, Claude & OpenAI APIs, REST + webhooks, FFmpeg. I use Claude Code daily — which is why I go from spec to shipped fast — and I debug AI-written code instead of trusting it blindly. CS background.
Tell me the manual process you're tired of running, or the system that keeps breaking — I'll map the pipeline that fixes it, and tell you up front if any part isn't worth building.
Steps for completing your project
After purchasing the project, send requirements so Daniel can start the project.
Delivery time starts when Daniel receives requirements from you.
Daniel works on your project following the steps below.
Revisions may occur after the delivery date.
Discovery & architecture
Map the workflow - trigger, tools, output - and confirm the approach with you.
Build & test
Build each node and test against real data, with error handling built in.