Unlocking the Power of Nano Language Models

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

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