Est. 2008 · Programming since 1976 · New Hampshire

Let's build something
that pays you back.

eDataQuest is the practice of James Rascoe — 50 years fitting the pieces together so businesses make money instead of burning it. Real engineer. Real accountant. Every meaningful platform since the IBM System/360.

1976started programming
2008founded eDataQuest
languages & systems

The Arc

Built every “it” since 1976.

Five decades of knowing how the pieces fit together — because I was there when they were first connected.

  1. 1970s

    Mainframes

    Watergate and disco on the radio. Business ran on room-sized mainframes. I was already inside the glass room, writing the code that ran them.

    • IBM System/360 and /370 — the iron behind the Fortune 500
    • COBOL, Assembly, PL/I, RPG
    • Punch cards → teletypes → line printers
    • On midrange systems by the late 70s
  2. 1980s

    The Personal Computer

    MTV launched, the Wall came down, and computers landed on desks. I picked up C and never put it down.

    • IBM AS/400, System/38, DEC VAX, S/36
    • Key IBM ISV partner through the midrange era
    • Leased lines, modems, dial-up BBSes
    • First PCs replacing typewriters and filing cabinets
  3. 1990s

    The Internet

    Seinfeld on TV, AOL in the mailbox. The web went from nothing to everywhere, and I was building on it the whole time.

    • Unix, Windows NT, Novell
    • SQL databases go mainstream
    • C++, Perl, early Java
    • Ethernet, TCP/IP, HTML, HTTP
    • First wave of e-commerce
  4. 2000s

    The Web at Work

    Reality TV and the first iPhone. Business moved into the browser and onto virtual machines. I ran a VMware shop from day one.

    • Java, .NET, LAMP stacks
    • SOA, XML, SOAP, web services
    • VMware ESXi Enterprise Plus shop from day one
    • Broadband everywhere
    • Ajax — the second web revolution
  5. 2010s

    The Smartphone and the Cloud

    Netflix killed Blockbuster. Company data left the building. I moved clients to the cloud and kept them shipping.

    • AWS, GCP, Azure
    • iPhone, Android, responsive web
    • Docker, microservices, API-first
    • Node, TypeScript, front-end frameworks
    • DevOps becomes a real discipline
  6. 2020s

    AI

    Pandemic, Zoom, ChatGPT. AI showed up in everyone's browser. Same practice, next chapter.

    • Kubernetes, GitOps, ArgoCD, self-hosted platforms
    • Claude, GPT, Gemini, LangGraph, LangSmith
    • AI agents in production — not slideware
    • GitOps across every client system
    • Still writing production code every day

Every Seat at the Table

Code to C-suite.
Architect to CEO.

Owner · Operator · President · VP · Engineer · Architect · Entrepreneur · Founder

I've learned how the pieces fit from every angle — technical, executive, entrepreneurial — and I bring all of them to the table. The job is never just code. It's building the business.

AI Practice

AI that does the work, not the demo.

Multi-agent orchestration, document intelligence, and conversational systems running in production — integrated into the business, not bolted on the side. Here's what the practice looks like today.

LangGraph

Agent Orchestration

Multi-agent workflows on LangGraph — state machines, tools, and handoffs that actually run in production. Not demo code.

SMS · Twilio

Conversational Systems

AI agents handling real customer SMS over Twilio — intake, triage, and decision-making wired directly into business data.

Gemini

Document Intelligence

Ingest arbitrary PDFs and images, extract structured data with Gemini, reconcile against the system of record. Less work, fewer errors.

LangSmith

Observability for Agents

Full-trace visibility with LangSmith — replay every decision, every tool call, every token. Debug AI the way you'd debug code.

Anthropic · OpenAI · Google

Model Routing

Claude, GPT, Gemini, and local models — picked per task, not per fashion. Cost, latency, and quality are all deliberate choices.

Strategy

Pragmatic AI

Most 'AI projects' fail because the problem was wrong. We spend as much time figuring out whether AI is the right tool as we do wiring it up.

Practice Areas

Four ways we work together.

Different entry points — same operating principle: understand the problem, ship what works, cut the ceremony that doesn't serve the outcome.

01

Custom Software

Full-stack builds — frontend, backend, and the glue. From discovery to production, on stacks built to last.

  • TypeScript
  • Angular
  • Node
  • Postgres
02

Infrastructure & GitOps

Kubernetes clusters, ArgoCD pipelines, certificate management, CI/CD. Self-hosted or cloud — the point is you own it.

  • k3s
  • ArgoCD
  • Terraform
  • Kaniko
03

Data & AI Practice

Big data pipelines, web analytics, and AI agents that actually move work forward. Real answers, not another dashboard.

  • LangGraph
  • PostGraphile
  • Analytics
  • Gemini
04

Software Discovery

Discovery engagements to get clear on what you're building — and whether you should build it at all. No techno-babble.

  • Strategy
  • Scoping
  • Prototyping

About

One person. A lifetime. Still shipping.

I'm James Rascoe. I take ideas and make them real. That's been the job since I was writing production code on IBM iron as a kid. System/360. /370. Midrange. Minis. PCs. Embedded. Servers. Mobile. Cloud. Containers. AI agents. Every platform that's mattered — I've built on it.

I was coding before C existed. When C showed up — a handful of instructions, infinite range — I couldn't put it down. I was a key IBM ISV through the midrange era, shipping real systems on real iron. VMware ESXi shop from day one. I've debugged with punch cards and with LangSmith traces. Same craft every decade: understand the problem, pick the right tool, get it working, keep it working.

The combination is unusual: I'm a real engineer and a real accountant. I read balance sheets and I read assembly. I've worked every angle of the business and served every kind of company there is. That vantage point is what lets me skip the usual fumbling and get straight to the part that matters: how this thing is going to make money.

I founded eDataQuest in 2008 because I kept watching good ideas get stuck in process — committees, decks, roadmaps, staffing cycles — while the actual thing never got built. So I do the opposite. Small practice. Real code. Real infrastructure. Real answers.

Decades in, still shipping every day. Still curious. Still learning whatever's next. The job was never just code — it's putting the pieces together so the business makes money instead of burning it. After a lifetime, you learn the difference.

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Ready to build?

Describe your idea in plain language. I'll write back within one business day — a real response, not a brochure. Fifty years of knowledge on the other end of the email.