How we engage:
start small, scale when it works.
Starting with SDEN does not mean betting big. As a forward deployed engineering partner, we meet you where you are: learn for free, buy a focused product self-serve, or commission a bespoke AI system when the stakes call for it. This page lays out how each path works, what it costs, and what stays yours.
Four ways in, one direction
Free to learn, self-serve to buy, scoped to build: every route ends at the same autonomy.
Four ways in, one direction
Learn is free and self-serve: courses, guides, hosted tools, and a prompt library, plus this site's AI readiness assessment. The Shop sells focused, self-serve products (ebooks, prompt packs, tool access, self-paced courses) at clear prices you can buy in a few clicks.
When you want a system in production, not just skills, that is an engagement: our engineers deploy into your stack and build bespoke AI systems that make your team measurably more productive. Training gets your people fluent, Audit & Consulting decides where AI is worth it, and Build & Run ships and operates the system. You can step on at any rung, and most clients move up the ladder rather than starting at the top.
Clear prices for products, scoped quotes for engagements
Self-serve products in the Shop carry their price on the page. There is nothing to negotiate: buy the guide, the prompt pack, or the course and start the same day.
Engineering engagements are scoped before they are priced, because a bespoke system is only worth building once we understand the work. Training is priced per cohort and format; Audit & Consulting is a fixed-scope engagement quoted after a short scoping call; Build & Run runs as a monthly engagement through a build phase and then operation. You will know the timeline and the deliverables before you commit.
Scoping first, then design, build, and handover
Every engagement opens with scoping: an architecture, a risk register, and a recommendation we stand behind, including a clear go or no-go. From there the work moves through design, build, and a handover phase where we operate the system alongside your team so the knowledge transfers, not just the code.
It is the same four-phase agentic engineering method we apply to our own production software. The detail lives on the approach page; the point is that there are no black boxes and no surprises.
The endpoint is your autonomy
Whatever rung you start on, the direction is the same: your team ends up running its AI systems without us. Training leaves you the materials, recordings, and a governance policy draft. Audit leaves you a vendor-portable roadmap. Build & Run leaves you the code in your repositories, with IP transfer in the contract and documentation written for the next engineer.
Our engineers deploy forward, into your repositories, your stack, and your workflows, which is why the distinction matters: forward deployed is not staff augmentation. You are buying a production milestone and a named transfer date, not hours against a backlog. No dependency dressed up as a retainer. If we keep working together, it is because there is new value to build, not because you are locked in.
How pricing works
Fixed for products, scoped for engagements.
Common questions.
Direct answers to the questions we get asked the most. If yours isn't covered, write to the team.
Not sure which rung is yours?
Tell us where you are with AI and we will point you to the right starting point: a guide, an assessment, an audit, or a build.