Skip the sales.
Buy the builder.
A small, tight-knit team that finds the business problem worth solving with AI — then designs and ships the system that actually moves it. We stay selective, so the work stays good.
Most AI sales is a deck of promises and a discovery call. We'd rather show you a reference architecture that worked pretty ok, tell you what we found — then build you something better.
What we do
Find the problem worth solving. Ship the system that moves it.
Fractional and advisory, roughly 10–20 hours a week, remote and async-friendly. We plug into your team, not around it.
AI use-case design & agentic systems
Not the flashy demo — the durable use case. We design production agentic systems with human judgment and verification built in, so the output holds up in front of customers.
CS org buildout & transformation
Stand up or reshape a customer-success organization: the operating model, the workflows, and the quality bar that turn CS from a cost center into a retention engine.
Cloud-migration program leadership
Lead complex migrations end to end — scoping, sequencing, and the cross-functional coordination that keeps technical delivery and business outcomes aligned through the hard middle.
Retention & growth strategy
See where you're quietly losing ground, and build the motion — data, process, and tooling — to fix it before it shows up in the numbers.
Show me, don't tell me
Systems we've actually built and run
Real production agentic systems, designed to be trusted. Click through the teardowns — interactive walkthroughs land here as we open-source more of the method.
Preflight
A three-layer anti-slop stack — lint, scoring, generator/critic isolation — that makes AI text safe to send to a real customer.
Teardown → Agentic OSOdin
Scheduled agents that gather, verify against the live source, and self-grade — getting less wrong over time without supervision.
Teardown → Shipped pluginAnti-Slop Linter
A deterministic checker that catches AI-writing tells before a draft ships. Installable, portable across Claude Code and Cowork.
Teardown → Delegation designAgentic Crew
A design-first portfolio of delegation personas over a shared memory frame and verification primitive. Map the work before you name the agent.
Teardown → The method5S Framework
Scope · Split · Shape · Ship · Sense — a reusable method for designing, delegating, and deploying AI use cases.
Teardown → ConvergenceLoop engineering
Maker/checker convergence loops with verifiable stop conditions — automate the iteration, keep the human on judgment.
Teardown →Field notes · unsanitized
What we're learning, written plainly
Opinionated notes on delivering real value with AI — reference architectures, what worked, what we'd do differently. No gate, no email wall.
Skip the sales, buy the builder
Why we run Ethos Tech like a workshop instead of a sales org — and why staying small and selective produces better work than growth-at-all-costs.
Read →A ref arch that worked pretty ok
A real human-gated agentic pipeline: what we shipped, what the verification layer caught, and the three things we'd change next time.
Read →More notes land here as we publish. Nothing to sign up for.
Who's behind it
Led by a builder, not a sales org
Ethos Tech is led by Jeremy Brazell — 17 years of enterprise delivery, ~$500M in career portfolio, and an AWS AI/ML Ambassador (2024) who now designs and ships production AI systems. See the full record →
Weighing the right full-time AI-leadership role. If that's you, the same record applies. The full record →
Let's talk
Book the builder
No forms. No qualification call. Pick a time and we'll talk about your actual problem.
Grab a time →Prefer email? jeremy.brazell@ethos-ai.tech