You will get AI Agent Development | n8n Automation | LLM Integration & Tool Calling
Project details
An agent demo takes an afternoon. An agent you can leave running takes the parts nobody films: what it does when a tool times out, what it is forbidden to touch, and what it costs on a bad day.
I build agents that do real work. Multi-step reasoning that plans before acting, tool calling with arguments validated before execution, streaming so the user sees progress instead of a spinner, and memory that persists across sessions when the job needs it.
The boundaries are part of the build, not an afterthought. Every tool is scoped to the narrowest permission that still does the job. Untrusted input is treated as untrusted. There is a spend ceiling the agent cannot cross, and when something fails it fails closed rather than improvising.
Model-agnostic by default, so one price change or outage does not become your problem.
Built on production experience: multi-persona agents, streaming and tool use in a live platform, delivered across fifteen approved milestones.
Written and asynchronous. A plan before code, staging before production, and I name my own bugs before you find them.
I build agents that do real work. Multi-step reasoning that plans before acting, tool calling with arguments validated before execution, streaming so the user sees progress instead of a spinner, and memory that persists across sessions when the job needs it.
The boundaries are part of the build, not an afterthought. Every tool is scoped to the narrowest permission that still does the job. Untrusted input is treated as untrusted. There is a spend ceiling the agent cannot cross, and when something fails it fails closed rather than improvising.
Model-agnostic by default, so one price change or outage does not become your problem.
Built on production experience: multi-persona agents, streaming and tool use in a live platform, delivered across fifteen approved milestones.
Written and asynchronous. A plan before code, staging before production, and I name my own bugs before you find them.
AI Algorithms
Large Language Model, Transformer ModelAI Applications
AI-Generated Code, AIOps, Conversational AI, Natural Language UnderstandingAI Development Language
PythonAI Tools
Azure OpenAIAI Models
ChatGPT, GPT-4What's included
| Service Tiers |
Starter
$299
|
Standard
$1,500
|
Advanced
$3,200
|
|---|---|---|---|
| Delivery Time | 4 days | 10 days | 18 days |
Number of Revisions | 1 | 2 | 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 | - | - |
About Guglielmo
AI Agents, Chatbots & Workflow Automation | Production AI Engineer
Milan, Italy - 2:59 pm local time
I build AI agents, chatbots and automations that run in production: connected to your real data, wired into the tools your team already uses, and still standing after the first thousand messages.
WHAT I BUILD
• AI agents that actually do the work. Multi-step reasoning, tool calling, and the guardrails that stop them going off-script or running up your bill.
• Chatbots that answer from your own documents, with the source attached to every answer and an honest "I don't know" instead of an invented one.
• Workflow automation, n8n or custom, that removes the task nobody on your team wants to do twice.
• AI built into the app you already have, rather than a separate toy nobody opens.
WHY CLIENTS KEEP COMMISSIONING
I ship on rails. A written plan before I touch code. Staging before production. Numbers you can verify instead of adjectives. I name my own bugs before you find them, and I will tell you when a feature is not worth building, which costs me money and saves you more.
My last client commissioned continuously for five months and wrote this: "one of the most substantive technical collaborations of my career."
HOW I WORK
Fully asynchronous, entirely in writing. No calls, no standups, no scheduling across time zones. You get updates you can read at 2am and forward to your team, and every decision stays on the record instead of evaporating in a meeting.
Stack: Python, FastAPI, Next.js, PostgreSQL, pgvector, Docker, OpenAI and Anthropic APIs, Stripe. MIT Professional Education certificate in Large Language Models. Background in security, which mostly shows up as systems that fail closed instead of loudly.
Tell me the outcome you need and what is currently in the way. You get back a scoped plan with a fixed price, usually same day.
Steps for completing your project
After purchasing the project, send requirements so Guglielmo can start the project.
Delivery time starts when Guglielmo receives requirements from you.
Guglielmo works on your project following the steps below.
Revisions may occur after the delivery date.
Define the tools and the boundaries
Before writing the agent, I write down every tool it can call, the arguments each one accepts, and what happens when a call fails. You approve that list. An agent is only as safe as the smallest set of things it is allowed to do.