Our Services

Strategic consulting, production development, and training for MCP and ChatGPT Apps — focused on evaluation, reliability, and real-world constraints.

What We Offer

AI fails less because of models and more because of systems, MCP Apps are no different.

Most teams can build demos. Few can ship AI systems that remain reliable under real usage, real data, and real constraints.
We exist to bridge that gap.

We help organizations adapt to a fundamental shift: ChatGPT is becoming a distribution channel, not just a tool.
We specialize in building and operating AI applications using the Model Context Protocol (MCP) and the ChatGPT Apps SDK.

We work across the full lifecycle:
Assess → Decide → Build & Evaluate → Operate

Strategic Consulting

Strategic consulting is what turns AI experimentation into deliberate system-building.

We start before code. Our role is to help you decide what should be built, what shouldn’t, and why.

Note: Strategic Consulting focuses on decision-making and system design.

**AI Evaluation** refers to the technical validation of models and system behavior once testing begins.-->

Assess before you build

We assess feasibility, risks, and constraints, then give a clear recommendation: build it, reshape it, or don’t build it.

You understand the limits before committing engineering time.

What we deliver:

  • Technical feasibility assessment
    Can this work reliably in production?
  • Proof of Concept vs Proof of Value analysis
    Should this be built, not just can it be built?
  • Production readiness review
    Latency, error handling, observability, security, and adoption constraints
  • Trade-off mapping
    What improves accuracy, what increases cost, what affects reliability, etc.
  • Go / no-go recommendations
    Evidence-based guidance, not optimistic estimates

Evidence we rely on (examples):

  • Evaluation criteria and success metrics
  • Constraint maps (latency, cost, data access, compliance)
  • Risk registers (security, reliability, failure modes)
  • Target architecture options with explicit trade-offs

Code review & production hardening

If you already have an MCP app or ChatGPT integration, we help make it production-ready.

  • Conversational flow and UX review
  • Architecture and code quality audits
  • Performance and latency optimization
  • Error handling and fallback design
  • MCP server best practices

Full Development (from Ideation to Production)

We don’t build demos.
We build systems designed to survive production.

Every engagement is structured to reach a clear outcome:

You will leave with a production-ready system
or
clear, evidence-based reasons why it should not be built (for now).

No ambiguity. No hype.

Our development process

1. Discovery & Decision

  • Requirements clarified through constraints, not wish lists
  • Conversational UX design aligned with user behavior
  • System architecture designed for production realities

2. Build

  • MCP Server: Tools, templates, and widget runtime
  • Conversational UI: Native-feeling ChatGPT interfaces
  • Authentication: OAuth flows and identity management
  • State Management: Persistent data across conversations
  • Tool Implementation: Business logic and integrations
  • Observability: Logs, metrics, traces, and error tracking

3. Validate

  • Evaluation against real usage scenarios
  • Performance and latency optimization
  • Security and failure-mode testing

4. Deploy & Operate

  • Production deployment with monitoring in place
  • Alerting and incident readiness
  • Documentation and handover
  • Post-launch support when needed

Security & trust (built in)

  • Prompt-injection-aware design
  • Least-privilege tool access
  • Guardrails and safe failure behavior
  • Audit-friendly logging and traceability
  • Privacy and compliance considerations from day one

Training & Empowering

We don’t just deliver systems, we help teams build the capability to own them.

Developer training programs

Training focused on production readiness, not SDK tutorials.

MCP & ChatGPT Apps mastery

  • Apps SDK architecture
  • MCP server design (tools, templates, widgets)
  • Conversational UI patterns
  • Authentication and state management
  • Observability and monitoring
  • Real-world constraints and trade-offs

MCP server development

  • Model Context Protocol fundamentals
  • Production-grade MCP server design
  • Security and performance best practices

Conversational UX & multi-step interactions

  • Designing guided conversational flows
  • Multi-step interactions and workflows
  • Context management across sessions
  • UX patterns that survive scale

Custom training formats

  • On-site or remote workshops and hackathon animation
  • Team mentorship on real projects

Why Work With Us

We build what we advise

Every recommendation is grounded in hands-on production experience.

Proof of Value over Proof of Concept

We optimize for outcomes that justify long-term investment.

Production is the default

Latency, errors, security, and observability are first-class concerns.

Multi-platform by design

MCP enables portability across ChatGPT, Gemini, and what comes next.

Honest about trade-offs

We explain limits, risks, and constraints clearly — even when the answer is “don’t build”.

Focused expertise

We don’t try to do everything. We build MCP applications exceptionally well.

Let’s Build what should be built

If you’re ready to move from AI experimentation to production, let’s talk.

Start a conversation and we’ll assess what’s feasible, what’s valuable, and what will actually work in production for you and now.