You will get I'll Build You a Self-Validating AI Agent Workflow in n8n
Rising Talent
Rising Talent
Project details
I build AI agent workflows that don't just generate output — they validate it before anything happens with it. Most "AI automation" is a single prompt with no checks. I design agents that plan a task, call the tools they actually need (calculators, APIs, schedulers), then run that output through a separate validation step before routing it forward. If the agent isn't confident or the task is ambiguous, it asks for clarification instead of guessing.
I come from 20+ years in operations leadership, not just prompting — so I build for reliability, not demos. Every workflow includes structured logging so you can see exactly what happened and why, not a black box.
You'll get a working n8n workflow, the exported file, and a clear walkthrough of how it's built and why.
I come from 20+ years in operations leadership, not just prompting — so I build for reliability, not demos. Every workflow includes structured logging so you can see exactly what happened and why, not a black box.
You'll get a working n8n workflow, the exported file, and a clear walkthrough of how it's built and why.
AI Algorithms
Large Language Model, Transformer ModelAI Applications
AIOps, Anomaly Detection, Conversational AI, Natural Language UnderstandingAI Models
GPT-4What's included
| Service Tiers |
Starter
$150
|
Standard
$350
|
Advanced
$650
|
|---|---|---|---|
| Delivery Time | 5 days | 7 days | 10 days |
Number of Revisions | 1 | 1 | 3 |
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 |
Frequently asked questions
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WO
Will O.
Jun 12, 2026
Prompt Editor for AI-Generated Planning Documents
About Eric
AI Engineer | AI Workflow Systems Builder
Princeton, United States - 8:02 pm local time
Every system I build includes honest documentation of what broke and how I fixed it, because that's the standard a business actually needs before trusting AI with real decisions.
Workflows I build:
Confidence-based routing pipelines:
→ Example: strong matches move forward, weak ones get rejected, borderline cases go to a person.
Classification and escalation routing:
→ Example: incoming email extracted, acknowledged, and flagged if urgent or overdue.
Document and data extraction pipelines:
→ Example: claims data pulled automatically. Low-confidence results go to review.
Invoice and document processing:
→ Example: invoices extracted on a schedule into a live spreadsheet.
Onboarding pipelines with duplicate detection and audit logging:
→ Example: new client intake that checks for existing records first.
Lead scoring and outreach with eval layers:
→ Example: emails checked for company name, length, and CTA before anything sends.
Multi-agent orchestration:
→ Example: one resume scored by three agents at once, then merged into one result.
Risk and fraud triage pipelines:
→ Example: claims flagged for human review. The system never decides fraud on its own.
RAG chatbots and knowledge-base Q&A:
→ Example: policy Q&A with source citations.
API integrations with error handling and dedupe:
→ Example: Monday and HubSpot integrations that catch failed writes hidden behind HTTP 200.
MCP servers exposing internal tools to AI clients:
→ Example: fraud scoring callable from Claude in plain English.
CI/CD pipelines for workflow deployment:
→ Example: GitHub Actions validates the workflow, then deploys it without creating duplicates.
AI observability and monitoring dashboards:
→ Example: tracks token cost, confidence drift, and error spikes.
Steps for completing your project
After purchasing the project, send requirements so Eric can start the project.
Delivery time starts when Eric receives requirements from you.
Eric works on your project following the steps below.
Revisions may occur after the delivery date.
Define agent scope and tools
I'll map out the task, required tools, and validation criteria based on your requirements.
Build the agent workflow
Construct the agent, tool integrations, and validation logic in n8n.