Synoptic Foundry LLC
AI-Native Software, Built for Real Businesses
I help small and medium-sized businesses ship custom websites, mobile apps, and AI-integrated workflows — fast, and without the consultant-hour markup.
Solo founder. 10+ years architecting systems for startups and the Fortune 500. Certified cloud solutions architect. Apps shipped to Google Play and the Apple App Store.
How I Can Help
Four ways businesses are working with me right now.
Custom Websites & Mobile Apps — Built Fast with AI
Production-grade marketing sites, web apps, and cross-platform mobile apps. I use modern AI-assisted development to compress what used to be a 3-month engagement into weeks — without the rough edges of "vibe-coded" output.
- • Next.js, React Native, AWS, modern stacks
- • Fixed-scope discovery → estimate → build
- • You own the code and the deployment
AI Adoption Consulting for Small & Medium Businesses
You know AI should be helping you — but you're not sure where to start, what tools to trust, or how to keep your data safe. I'll walk through your operations, identify the highest-leverage wins, and stand up the pilot with you.
- • Practical, vendor-neutral recommendations
- • Workflows your team can actually run
- • Honest about what AI can't yet do
AI-in-Engineering Audits
Already paying for Copilot, Claude Code, or Cursor — but not seeing the productivity jump everyone promised? I'll come in as an external consultant, observe how your team uses AI day-to-day, and deliver a concrete playbook for unlocking 2–5× throughput from the same tools.
- • Prompt & context-window hygiene
- • Repo setup, CLAUDE.md, MCP tool diet
- • Planning, review, and "trust calibration" practices
Cloud Architecture & Cost Reviews
AWS, GCP, or Azure bill creeping up? I bring a certified architect's eye to your setup and surface the rightsizing, reserved-capacity, and architectural opportunities your dashboard isn't showing you.
- • Architecture review & cost waterfall
- • Prioritized savings recommendations
- • Optional hands-on implementation
I Don’t Just Advise — I Ship
Before recommending anything to a client, I’ve run it through my own products: design, build, store review, release, support. Here’s a sample of what I’ve taken all the way to production.
U.S. Healthcare Navigator
Guided virtual experts walk users through hospital bills, charity care, Medicaid, and deductibles — released on both major app stores.
Executive AI Primer
AI fundamentals for busy executives, delivered through expert conversations instead of jargon-heavy whitepapers.
cloudrightsizing.com
A free, public version of my cloud cost-review work — rightsizing and savings analysis without the sales call.
Bespoke Twin
An AI avatar video platform: lipsync'd talking-head videos generated end-to-end. Built the full pipeline; holding release until avatar quality meets my bar.
These consumer apps aren’t the business — they’re proof that I take software from idea to app-store release, end to end. Browse all projects →
Why Work With Me
A builder, not a slide-deck shop
Every recommendation I make is something I've shipped myself. No second-hand consultancy patterns from a 2023 McKinsey deck.
Solo founder, no overhead
You work with the person doing the work. No bait-and-switch staffing. No account manager between you and the engineer.
Actively writing on this stuff
I publish working notes on LLM adoption, context-window engineering, and where AI productivity claims break down. Read before you book — see if we think alike.
Recent Writing
Notes from the frontier of AI-assisted development.
Tokenmaxxing: The AI-Adoption Metric That Punishes Your Best Engineers
Some companies have started grading developers on how many AI tokens they consume. It's the latest in a long line of well-meaning productivity metrics that reward exactly the wrong behavior—and this one quietly degrades code quality, burns money, and teaches your most capable engineers to sabotage the very thing leadership is trying to accelerate.
AI Will Destroy Far More IT Jobs Than It Creates — but One Demanding New Role Is Emerging
I keep arguing that AI is going to shrink IT departments hard — fewer coders, fewer business analysts, fewer scrum masters, fewer QA testers. That part is real, and I won't dress it up. But there's one genuinely new role emerging in the rubble: the person who takes a freshly AI-built feature, plays with it, and imagines the version that's actually better. There will be nowhere near enough of these seats to replace what's lost, the skillset barely overlaps with the jobs disappearing, and the responsibility is enormous.
Why MCP Stopped Making Sense for Most Apps
The Model Context Protocol promised universal LLM tool integration. Then developers hit the context wall. Here's what went wrong and what's replacing it.
Let's see if it's a fit.
15 minutes, no pitch. Tell me what you're trying to ship or unstick, and I'll tell you honestly whether I'm the right person for it.
Book a free 15-min call →