Services
The shift from static prompts to intelligent, reasoning-based agents brings new challenges — memory, orchestration, governance, and deployment. Whether you’re experimenting with O3 Mini or scaling with O4 Mini, success depends on more than just good ideas. It requires the right infrastructure and execution.
At O3AIStack, I help teams move from theory to working agents using real-world tools: GitHub, Azure AI Foundry, containerized workflows, and secure cloud practices.
Below are three tailored services designed to accelerate your agent development — from prototype to production.
1. Agent Prototype Kickstart (Fixed-Scope Package)
Ideal for: Startups, teams new to O3/O4-Mini, or internal tool builders
What it is:
A 1-week sprint where you help the client go from idea to working prototype using O3 Mini (Low or Medium). Includes:
- Discovery call + architecture recommendation
- Agent workflow design (prompt chain or logic map)
- O3 Mini stack deployment via Azure AI Foundry
- GitHub + CI/CD setup
- 1 feedback loop & improvement session
Deliverables:
- Functional agent with reproducible deploy instructions
- GitHub repo with structured prompts, logic, and documentation
- Optional: tutorial handoff video
2. Reasoning Agent Design & Memory Optimization (Consulting)
Ideal for: Enterprises or tech leads needing scalable, stateful, or autonomous workflows
What it is:
Consulting service focused on agent architecture using O4 Mini and reflective memory models. Includes:
- Review of existing infrastructure or workflows
- Design of multi-agent or persistent memory agents
- Integration strategy (LangChain, Azure OpenAI, memory DBs)
- Security + governance alignment
Delivery model:
Hourly or retainer-based. Includes Loom walkthroughs, architecture diagrams, and prompt evaluation reports.
3. O3/O4-Mini DevOps Integration & Training (Hands-On Enablement)
Ideal for: DevOps teams deploying agents across environments
What it is:
A training and tooling package focused on setting up automated, secure agent pipelines using GitHub + Azure.
- Azure Container Apps or AKS + VNet setup
- GitHub Actions or Azure DevOps pipelines
- Monitoring, scaling, secrets management
- CI/CD for O3/O4 workflows
- Optional: internal team training or documentation kits
Outcome:
Team gains confidence in managing intelligent agent infrastructure as code.
Additional Services
- Agent audit & refactoring for performance/memory
- Enterprise upgrade path: Migrate from O3 to O4
- Security/compliance validation for private AI systems