You will get an AI agent workflow designed and built with n8n and Claude

Project details
Most AI automation fails the same way: an impressive demo that nobody trusts with real work. I build AI-agent systems the way a senior product manager builds anything — starting from the business process, the failure modes, and the places a human must stay in the loop. I work hands-on in n8n, Claude, and Supabase, and I have working multi-agent products to show for it, not slideware. You get a system designed around approval gates where they belong (anything customer-facing, anything involving money), an honest running-cost model before you commit, and — on Standard and Advanced — a working prototype tested against your actual data, with documentation your team can run and modify without me. Automation that survives contact with Monday morning.
AI Algorithms
Large Language Model, Transformer ModelAI Applications
Conversational AI, Natural Language Generation, Natural Language UnderstandingAI Models
ChatGPT, GPT-4What's included
| Service Tiers |
Starter
$600
|
Standard
$1,500
|
Advanced
$3,500
|
|---|---|---|---|
| Delivery Time | 5 days | 14 days | 21 days |
Number of Revisions | 1 | 1 | 1 |
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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RW
Rebecca W.
Jan 4, 2023
Product Manager
About Di
Payments & Commerce Product Manager | Platform & Systems Integration
New York City, United States - 4:24 am local time
What that looks like in practice:
• Designed a payment abstraction layer integrating 5 providers (Klarna, PayPal, Afterpay, Apple Pay) at the gateway level — cutting each subsequent integration's timeline 50–70% and unlocking 7 commerce channels (Meta, Google, TikTok, Instacart, Shipt) worth $13.3M in incremental revenue.
• Consolidated 7 fragmented legacy systems at a Fortune 500 hospitality company into a unified data layer ($600M efficiency program), and built a 0→1 B2B ticketing platform processing $485M/year — cutting time-to-onsale 82%.
• Built a regulated lending platform that scaled to $84M in transaction volume in 18 months, working daily with Compliance, Legal, and Risk.
• Build AI-agent systems hands-on: multi-agent workflows for lead scoring, drafting, and operations automation on Claude, n8n, and Supabase — plus working AI product prototypes (Kin OS, Command Center, etc). I use AI to compress discovery and delivery, not as a buzzword.
• For smaller businesses: integrated inventory systems for a $2M/year Shopify retailer — the unglamorous SKU-mapping, sync, and reconciliation work that makes multichannel selling actually function.
Typical engagements: payment provider integration & gateway strategy · Shopify/ERP/inventory system integration · AI-agent workflow design · platform consolidation & modernization roadmaps · fixed-fee systems audits · fractional senior product leadership.
The fastest way to start is a short paid discovery (2–3 days): I map your actual problem, give you a written diagnosis, and quote the fix. If the diagnosis is all you needed, that's a fine outcome too.
Steps for completing your project
After purchasing the project, send requirements so Di can start the project.
Delivery time starts when Di receives requirements from you.
Di works on your project following the steps below.
Revisions may occur after the delivery date.
Process Mapping
Document the real workflow, its decision points, and its failure modes.
Workflow Design
Agent roles, tools, human-approval gates, and an honest running-cost model.