1.0 Services
| REF | SERVICE | SCOPE |
|---|---|---|
| LGTM-001 | AI & agentic systems | Software built on LLMs that does real work: agents, pipelines, code generation. We have seen how these systems fail in production, and we design around it. |
| LGTM-002 | Bespoke software | From a small automation that saves your team's week to coordinated systems running across the globe. On your infrastructure or built fresh. Boring, durable, documented. |
| LGTM-003 | AI enablement | Hands-on training for your engineers, or your CEO. Get real work out of AI coding tools without shipping slop that someone has to clean up. |
| LGTM-004 | Architecture & risk review | What breaks at 10x, what's quietly costing you money, and where AI tooling can mislead a team that doesn't know what it doesn't know. |
| LGTM-005 | Messaging & positioning | What you've built, explained so people care: positioning, product and launch copy, PR, the hard internal memo. Run by an editor who has led national newsrooms. |
2.0 When to call us
- Your team adopted AI coding tools, and the codebase is getting worse faster.
- You're pitched AI products every week and can't tell which claims are real.
- A prototype quietly became production, and now it carries the business.
- The last contractor is gone, and nobody knows how the system works.
- Your cloud bill grows every month, and nobody can say why.
- You run your business on manual processes that a week of automation would fix.
- Traffic is about to grow tenfold: a launch, a big contract, an acquisition.
- The board wants an AI strategy. You'd rather have working software.
- You're a founder with a product idea and no engineering team yet.
- Your product is better than your competitor's, and their website says otherwise.
- A big announcement is coming, and the words have to land the first time.
- Something is down right now, and your team is out of ideas.
Checked one box? That's enough. Go to 7.0 Contact.
3.0 Working with AI
Real work, not demos
AI coding tools can produce production software today. They can also produce confident garbage. The difference is the system around them: review, tests, constraints, and people who can tell the two apart. We build that system with you.
Know what you don't know
The costliest failures happen when a team can't evaluate what a model hands back. We teach you the questions to ask, so a tool can't talk you into building the wrong thing and a vendor can't sell you one that doesn't work.
Build less
Most of the money wasted on software goes to features nobody needed. AI makes it cheaper to build, which makes it cheaper to build the wrong thing at scale. We help you find the smallest version that does the job, then ship that.
Every altitude
We train engineers at the keyboard and brief executives in plain English. Same material, different altitude. Your CEO should understand what these tools change about your business, and your team should know how to use them without supervision.
4.0 A free first session
Three hours, no charge, no pitch. We sit beside you, in person or on a shared screen, and set up an AI coding system that fits how you actually work: VS Code, Emacs, a terminal, Claude Code, OpenClaw, or something bespoke. Then we use it on a real task from your business.
You leave with:
- A working setup on your own machine, matched to your tools, your team, and your life.
- One real task finished with AI assistance, by you, during the session.
- The habits that prevent the most expensive beginner mistakes.
- A method for judging code you didn't write before you trust it.
- A plain-English read on where these tools fit your business, and where they don't.
Most people run with it from there. When you want to go further, we train the whole team, build the first production system with you, or put a partner's eyes on your architecture. That's section 1.0.
Not ready for three hours? Start with our one-page AI coding cheat sheet (PDF) and skip the most expensive beginner mistakes on your own.
5.0 Principals
Clint Ecker Partner, Engineering
Clint has built software at a senior level for twenty-five years: startups, ad agencies, payments at PayPal, Braintree, and Venmo, and the 2012 Obama re-election campaign. He works in distributed systems, data pipelines, and cryptography, and he has spent the past several years on LLM engineering: agents, code generation, and the workflows that make AI-written software safe to ship.
Jacqui Cheng Partner, Editorial
Jacqui is a writer and editor. She ran Wirecutter as editor-in-chief, helped lead Ars Technica at Condé Nast, and worked at WQXR in New York. She is an Entrepreneur in Residence at Columbia Journalism School and serves on the boards of the Chicago Symphony Orchestra and the Old Town School of Folk Music. She makes complicated ideas clear, and she makes them land.
6.0 General notes
- Simplicity beats clever. Every time.
- We build what you need and nothing more.
- Empathy and kindness are part of the spec.
- If you don't need us, we'll say so.
7.0 Contact
Weighing a build, an AI initiative, or a mess someone else left behind? Write a paragraph about where you are and what's in the way. Clint reads every message and answers it himself. You'll get a straight answer, sometimes including "you don't need us."
Email is the whole funnel. No form, no scheduler, no qualification call.
LGTM Systems LLC. Independent. Small on purpose.