NEWSLETTER
AI That Ships — from people who build it
Not trends. Not prompts. No hype. Just what works (and breaks) when AI moves from demo to real users, revenue, and constraints.
Not trends.
This is not an AI newsletter for trends, prompts, or hype.
Built by builders.
Written by two founders building production AI systems for startups from pre-seed to Series B.
Production reality.
Every issue distills what actually works (and breaks) when AI meets real users, revenue, and constraints.
For teams with stakes.
If you’re building with real stakes, this is for you.
WHY
Why this newsletter exists
Most teams don’t fail because they lack information. They fail because execution breaks under real constraints.
They fail because:
•They copy architectures that don’t survive production
•They underestimate operational and organizational constraints
•They learn the hard way — with customers watching
We write this newsletter to shorten that learning curve.
Both outcomes are intentional.
AUTHORS
Who it’s written by
Two founders. Complementary strengths. Same bar: production responsibility.
Complementary roles:
✓AI systems architecture, technical judgment, and production design
✓Execution, operations, and scaling in regulated environments
This newsletter reflects that same balance:
systems + execution — in the real world.
EVERY ISSUE
What you’ll get
A short, focused read (5 minutes) covering the real decisions teams face when shipping AI.
You’ll get:
✓How agent systems fail — and how to design around it
✓Retrieval, memory, and evaluation patterns used in production
✓Tradeoffs founders only discover too late
✓How AI decisions affect product, teams, and trust
No tutorials. No recycled threads.
Only patterns we’ve seen break — and fix — in real companies.
FIT
Who this is for
If you’re responsible for outcomes and building under real constraints, you’ll feel at home here.
This is for you if:
- ✓You’re a founder, CTO, or product leader
- ✓You’re building with real users and real constraints
- ✓You care about reliability more than novelty
This is not for you if:
- ✗You’re exploring AI casually
- ✗You want prompt tricks or tools-of-the-week
- ✗You’re not responsible for outcomes
Clarity filters better
than volume.
RECENT
Recent topics
These are the questions that keep showing up right before teams hit scale, legal, or trust problems.
Recent issues cover questions like:
•Why agent memory breaks trust at scale
•When RAG becomes a liability
•Why most AI systems fail after the demo
•What investors actually look for in AI architecture
These problems cost
time, money, and credibility.
AUDIENCE
Who reads this
Founders and builders who have to make AI work under real constraints — not just talk about it.
You’ll see teams like:
✓Early-stage startups
Shipping their first AI feature — and trying not to create new technical debt.
✓Scaling Series A/B teams
Hardening reliability, reducing risk, and preparing for legal/security scrutiny.
✓Product + engineering leaders
Making AI useful, safe, and maintainable inside larger organizations.
Different stages.
Same reason: clarity.
FACTA
How this connects to FACTA
This newsletter is where we share how we think — the same approach we bring into client work.
FACTA helps startups:
✓Design production-grade AI systems
✓Avoid costly architectural dead ends
✓Scale AI responsibly as the company grows
If that resonates,
working together is usually a good fit.
JOIN
Join the newsletter
If you want fewer surprises and better decisions when building with AI:
👉 Subscribe to AI That Ships.
One email per week.
Sometimes just insight. Sometimes the start of a conversation.
Both are fine.
You’ll get:
✓Clear opinions (not vibes)
✓Architecture you can defend
✓Practical ways to ship safely