You will get a Custom AI Agent to Automate a Business Workflow
Rising Talent
Rising Talent
Project details
You have a task that follows clear rules and eats hours every week — pulling data from one system, deciding what to do with it, and acting in another. This service builds an AI agent that does exactly that one job: a Custom AI Agent to Automate a Business Workflow, scoped, tested, and deployed to an environment you control.
The agent uses tool and function calling to work with your real systems. It reads from and writes to your APIs, database, or SaaS tools, runs the steps of your workflow in order, and stays inside guardrails so it does its job and nothing else. Before anything ships, we agree on the test cases that define success, and the agent has to pass them.
I'm a senior engineer with an AWS Professional Services background, working at the principal/staff level. I scope tightly, name what's in and what's out, and define "Done" as concrete acceptance criteria you sign off on — so you know exactly what you're getting before I write code.
Done = the agent completes your target workflow end-to-end on the test cases you approve.
The agent uses tool and function calling to work with your real systems. It reads from and writes to your APIs, database, or SaaS tools, runs the steps of your workflow in order, and stays inside guardrails so it does its job and nothing else. Before anything ships, we agree on the test cases that define success, and the agent has to pass them.
I'm a senior engineer with an AWS Professional Services background, working at the principal/staff level. I scope tightly, name what's in and what's out, and define "Done" as concrete acceptance criteria you sign off on — so you know exactly what you're getting before I write code.
Done = the agent completes your target workflow end-to-end on the test cases you approve.
AI Algorithms
Generative Adversarial Network, Large Language Model, Multimodal Large Language ModelAI Applications
AI Chatbot, AI Mobile App Development, AI Text-to-Image, AI Text-to-Speech, AI-Generated Video, AIOps, Conversational AI, Natural Language GenerationAI Models
ChatGPT, GPT-4, LLaMA, Midjourney AI, OpenAI Codex, Stable Diffusion, WhisperWhat's included
| Service Tiers |
Starter
$2,500
|
Standard
$6,000
|
Advanced
$12,000
|
|---|---|---|---|
| Delivery Time | 12 days | 28 days | 49 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 |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$1,000
Additional Revision
+$1,000
Additional Integration
(+ 3 Days)
+$1,000
Slack / Teams interface
(+ 4 Days)
+$1,200
Scheduled runs
(+ 2 Days)
+$750Frequently asked questions
About Stewart
AI Full-Stack Engineer | AWS | Next.js | React Native
Pflugerville, United States - 5:52 am local time
I help startups and enterprise teams design and ship AI-powered SaaS products using AWS, React, Next.js, React Native, PostgreSQL, and modern LLM platforms including OpenAI, Anthropic, Gemini, and Amazon Bedrock.
Former AWS Professional Services engineer delivering solutions for Fortune 500 organizations. Today I help founders build secure, scalable AI products from MVP through production.
Specialties include:
• Agentic AI systems
• RAG & knowledge retrieval
• AI workflow automation
• Full-stack SaaS
• AWS cloud architecture
• React / Next.js / React Native
• API integrations
• DevOps & Kubernetes
Steps for completing your project
After purchasing the project, send requirements so Stewart can start the project.
Delivery time starts when Stewart receives requirements from you.
Stewart works on your project following the steps below.
Revisions may occur after the delivery date.
Scope & acceptance criteria.
We map your workflow into discrete steps, agree on the integrations, and write down the test cases that define "Done." Nothing gets built until this is signed off.
Integration & access setup.
I connect to your systems using sandbox/test credentials, confirm the agent can read and write what it needs, and validate auth and rate limits.