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You will get Custom AI Agent to Automate Your Repetitive Workflow
Project details
I build production-grade AI agents that automate your workflows with enterprise-level reliability.
Each agent I deliver includes:
✓ Async-first architecture with comprehensive error handling
✓ 95%+ automated test coverage (pytest suite)
✓ Azure OpenAI integration with fallback strategies
✓ Full documentation with health checks & observability
✓ Deployment-ready with containerization support
I specialize in:
→ Conversational AI agents (multi-turn dialogue, memory, context-awareness)
→ Workflow automation agents (data processing, API orchestration, task scheduling)
→ RAG-enabled agents (document analysis, knowledge base integration)
→ Custom integrations (AnkiConnect, external APIs, databases)
→ Multi-agent systems & complex orchestration
My framework is battle-tested across conversational, specialized, and workflow domains. Every agent follows the PETERPOD methodology: rigorous testing, clean architecture, production observability, and zero technical debt.
Technical Stack: Python 3.12+, Semantic Kernel, LangChain, AutoGen, Azure OpenAI, Pytest, Docker
Perfect for startups needing AI automation, enterprises building custom LLM workflows, or teams lacking Python/AI expertise.
Each agent I deliver includes:
✓ Async-first architecture with comprehensive error handling
✓ 95%+ automated test coverage (pytest suite)
✓ Azure OpenAI integration with fallback strategies
✓ Full documentation with health checks & observability
✓ Deployment-ready with containerization support
I specialize in:
→ Conversational AI agents (multi-turn dialogue, memory, context-awareness)
→ Workflow automation agents (data processing, API orchestration, task scheduling)
→ RAG-enabled agents (document analysis, knowledge base integration)
→ Custom integrations (AnkiConnect, external APIs, databases)
→ Multi-agent systems & complex orchestration
My framework is battle-tested across conversational, specialized, and workflow domains. Every agent follows the PETERPOD methodology: rigorous testing, clean architecture, production observability, and zero technical debt.
Technical Stack: Python 3.12+, Semantic Kernel, LangChain, AutoGen, Azure OpenAI, Pytest, Docker
Perfect for startups needing AI automation, enterprises building custom LLM workflows, or teams lacking Python/AI expertise.
AI Development Type
Knowledge Representation, Recommendation System, Software MaintenanceAI Tools
Azure Machine LearningAI Development Language
PythonWhat's included
| Service Tiers |
Starter
$200
|
Standard
$500
|
Advanced
$750
|
|---|---|---|---|
| Delivery Time | 3 days | 10 days | 21 days |
Number of Revisions | 2 | 3 | 7 |
AI Model Integration | |||
Detailed Code Comments | |||
Knowledge Graph | |||
Model Documentation | |||
Ontology | |||
Source Code | - | - | - |
Taxonomy |
Frequently asked questions
About Peter
Aerodynamicist and Software Engineer
Northwich, United Kingdom - 6:01 am local time
My background is first-class BEng Aeronautical Engineering, with hands-on experience delivering ML surrogate models for CFD, large-scale simulation, forecasting, and automated technical analysis using high-performance computing (Southampton IRIDIS). I provide much needed analysis, in a day-and-age filled with noise, that actually informs decisions.
Best suited to engineering optimization, AI automation, and quantitative analysis projects where precision and execution matter.
Steps for completing your project
After purchasing the project, send requirements so Peter can start the project.
Delivery time starts when Peter receives requirements from you.
Peter works on your project following the steps below.
Revisions may occur after the delivery date.
Agent Requirements Analysis & Design
Review specifications, design agent architecture, create technical approach document
Agent Implementation & Testing
Build agent code following industry guardrail and functionality standards (async/await, 95%+ test coverage, comprehensive error handling)