You will get an AI automation workflow for your business tools and data
Project details
You will get an AI automation workflow that connects your business tools, data, and repetitive tasks into a cleaner process.
This is best for teams that want to automate work across tools like Google Sheets, email, CRMs, Notion, Slack, internal APIs, reporting systems, or document workflows. The automation can use Claude, OpenAI, Groq, Gemini, no-code tools, custom Python/TypeScript, or direct API integrations depending on what fits the job.
I focus on practical workflows: clear triggers, structured outputs, human review where needed, error handling, and documentation your team can understand. For simple workflows, I use direct API automation. For more complex workflows, I can build agent-style systems with routing, tool use, retrieval, and scheduled execution.
My related work includes a production AI agent deployed on AWS Lambda and EventBridge, a multi-agent system using CrewAI and LangChain, and Promptimus, a two-stage LLM routing pipeline.
This is best for teams that want to automate work across tools like Google Sheets, email, CRMs, Notion, Slack, internal APIs, reporting systems, or document workflows. The automation can use Claude, OpenAI, Groq, Gemini, no-code tools, custom Python/TypeScript, or direct API integrations depending on what fits the job.
I focus on practical workflows: clear triggers, structured outputs, human review where needed, error handling, and documentation your team can understand. For simple workflows, I use direct API automation. For more complex workflows, I can build agent-style systems with routing, tool use, retrieval, and scheduled execution.
My related work includes a production AI agent deployed on AWS Lambda and EventBridge, a multi-agent system using CrewAI and LangChain, and Promptimus, a two-stage LLM routing pipeline.
AI Development Type
Knowledge Representation, Recommendation System, Software MaintenanceAI Tools
PyTorch, Sonnet, TensorFlowAI Development Language
PythonWhat's included
| Service Tiers |
Starter
$300
|
Standard
$900
|
Advanced
$1,700
|
|---|---|---|---|
| Delivery Time | 4 days | 8 days | 14 days |
Number of Revisions | 1 | 2 | 2 |
AI Model Integration | |||
Detailed Code Comments | - | ||
Knowledge Graph | - | - | - |
Model Documentation | - | ||
Ontology | - | - | - |
Source Code | |||
Taxonomy | - | - | - |
Frequently asked questions
About Jan
AI Engineer | AI Integrations, RAG, Agents | AWS Lambda
Toronto, Canada - 8:56 am local time
I build AI features, RAG systems, and agent-style automations that are meant to run in real products, not just demos. That can mean a quick Claude/OpenAI integration, a document-based chatbot, or a scheduled workflow on AWS Lambda with EventBridge and CloudWatch observability.
What I build:
- AI integrations for existing apps using Claude, OpenAI, Groq, or open-source LLMs
- RAG chatbots and semantic search systems with LlamaIndex + ChromaDB
- AI agent workflows with LangChain, LangGraph, or CrewAI
- Scheduled/event-driven automations on AWS Lambda + EventBridge + API Gateway
- Prompt optimization pipelines, including Promptimus: domain detection + rewrite under 2s
- Document extraction pipelines with OCR, structured outputs, and validation
Stack: Python, TypeScript, Node.js, AWS SAM, Lambda, EventBridge, API Gateway, S3, SSM, CloudFormation, CloudWatch, Groq, LangChain, LangGraph, CrewAI, LlamaIndex, ChromaDB, REST APIs.
Recent work:
- Production AI agent on AWS: TypeScript + Llama 3.3 70B via Groq, full IaC, 6-week run, 98% accuracy on eval set
-AI forecasting pipeline at Happy Nutrition: TypeScript + Llama 3.3 70B via Groq, AWS Lambda/EventBridge deployment, 20% forecast-error reduction after source-scoring improvements
- RAG improvements at Outautomation: 25% better retrieval precision and 35% gain in structured-data accuracy across large document sets
- Promptimus: two-stage LLM prompt optimization pipeline with sub-2s end-to-end runtime
Good fits:
- You want to add AI to an existing product
- You need a RAG chatbot or document search system
- You have a workflow that should be automated with LLMs/APIs
- You need an AI agent deployed cleanly instead of another fragile prototype
Tell me what you want the AI system to do, what data it touches, and where it needs to run. I’ll respond with a concrete first milestone, timeline, and honest scope.
Steps for completing your project
After purchasing the project, send requirements so Jan can start the project.
Delivery time starts when Jan receives requirements from you.
Jan works on your project following the steps below.
Revisions may occur after the delivery date.
Map workflow
I review your current process, tools, triggers, inputs, and expected outputs to define the automation scope.
Design automation
I design the AI workflow, prompt/API flow, tool connections, structured outputs, and review points.