You will get a custom AI agent with tools, knowledge, and human approval
Project details
I will build one custom AI agent for a clearly defined business responsibility—not a generic chatbot or unrestricted autonomous system.
The agent can understand approved inputs, use connected tools, consult business knowledge, keep task records, and stop for human approval before sensitive actions. Uses include research, document processing, operations support, controlled content, and task coordination.
Starter validates one focused use case. Standard adds a knowledge base, structured records, task state, and recovery. Advanced delivers a governed agent with long-term memory, tool permissions, budget limits, audit records, monitoring, and deployment support.
Every tier includes source code or configuration, model and tool setup, prompts and operating rules, testing evidence, error handling, and handover documentation.
Pricing is for one agent: one stable role, one core goal, one decision loop, and one permission boundary. Multiple collaborating agents or a complete operating system belong in the AI Business Automation System service.
Third-party subscriptions, model usage, hosting, unrestricted external actions, and guaranteed business outcomes are not included.
The agent can understand approved inputs, use connected tools, consult business knowledge, keep task records, and stop for human approval before sensitive actions. Uses include research, document processing, operations support, controlled content, and task coordination.
Starter validates one focused use case. Standard adds a knowledge base, structured records, task state, and recovery. Advanced delivers a governed agent with long-term memory, tool permissions, budget limits, audit records, monitoring, and deployment support.
Every tier includes source code or configuration, model and tool setup, prompts and operating rules, testing evidence, error handling, and handover documentation.
Pricing is for one agent: one stable role, one core goal, one decision loop, and one permission boundary. Multiple collaborating agents or a complete operating system belong in the AI Business Automation System service.
Third-party subscriptions, model usage, hosting, unrestricted external actions, and guaranteed business outcomes are not included.
AI Algorithms
Large Language Model, Transformer ModelAI Applications
AI Chatbot, Conversational AI, Natural Language Generation, Natural Language UnderstandingAI Development Language
PythonAI Models
ChatGPT, GPT-4What's included
| Service Tiers |
Starter
$399
|
Standard
$899
|
Advanced
$1,999
|
|---|---|---|---|
| Delivery Time | 5 days | 10 days | 18 days |
Number of Revisions | 1 | 2 | 2 |
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 |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$149 - $599
Additional Revision
+$99
Additional tool integration
(+ 2 Days)
+$149
Additional knowledge source
(+ 2 Days)
+$99Frequently asked questions
About Munny
AI Automation Engineer | n8n, APIs, Agent Systems & Internal Tools
Kunming, China - 6:16 am local time
Most automation problems are not really tool problems. They usually start with a process that has become messy: data lives in too many places, repetitive work takes up too much time, and nobody knows what happens when a workflow fails.
That’s the kind of problem I enjoy solving.
I help founders and small teams build practical automation with n8n, Python, APIs, databases, and AI agents. Depending on the project, that might be a single workflow, an internal tool, a research monitoring system, or an agent that can use tools and stop for human approval. I also work with ComfyUI and controlled AI image-generation workflows when visual production is part of the process.
Before I build anything, I try to understand what actually needs to improve. Sometimes an AI agent is the right answer. Sometimes a small Python script or a cleaner n8n workflow is better. I do not add complexity just to make a project look impressive.
What I care about:
• A clear goal and a realistic scope
• Safe testing before touching production
• Error handling, logs, retries, and recovery
• Documentation that another person can actually understand
• Honest communication about what is working, what is not, and what still needs attention
Because I run my own one-person AI studio, I use many of these systems in my day-to-day operations. My internal R&D work includes a multi-agent digital product operations platform and an AI operations assistant with tools, memory, evidence tracking, and human approval. These are self-initiated projects, not client work, and I’m transparent about that.
If your current process is messy, unfinished, or difficult to explain, that is completely fine. Send me what you have, what keeps breaking, and what a good result would look like. We can start by finding the smallest reliable version that is actually worth building.
Steps for completing your project
After purchasing the project, send requirements so Munny can start the project.
Delivery time starts when Munny receives requirements from you.
Munny works on your project following the steps below.
Revisions may occur after the delivery date.
Define the agent scope and controls
Confirm the business process, allowed data, tool permissions, human decisions, prohibited actions, failure handling, and acceptance criteria.
Build the tools, memory, and approval flow
Build the agreed agent workflow, knowledge access, structured records, tool integrations, validation, recovery, and human approval gates.