The hardest part of AI isn't building. It is choosing the right use-case and designing the plan. Describe a workflow and we'll tell you if it's worth it, i.e. are agents even required, costs, and the right architecture.
We review every submission personally and send back a stack-ranked shortlist with the why.
Tell us, in plain English, what the process is and where do you think AI should be implemented.
Fit, effort to build & maintain, the best model, and cost to run and most importantly: is it a good bet, a simple automation, or one to skip, as well as much more.
A stack-ranked shortlist with the why. You can ask questions to go deeper whenever you need.
Does it fit how your company actually operates and does it even require AI agents?
What it takes to build it — and keep it running.
The right architecture and model for the job.
What it actually costs to run, per month.
A script, a rule, or a better form would have done the job for a fraction of the cost.
Money and weeks of engineering go into agents that underperform, stall, or get quietly shut off.
Most teams commit to building before anyone asks the hard question: will this actually work?
Five minutes here can save you a quarter of build time.
It doesn't have to start that way.
Five minutes describing a workflow tells you whether it's worth a single day of build before you commit a quarter to it.
We're seasoned operators who have built and exited infrastructure start-ups, and were super early at Snowflake. We built the infrastructure for data cloud at scale and trained foundational models, so we know a good opportunity from an expensive distraction.
Describe a workflow or drop in your list. We'll send the ranked shortlist.
Thanks for reaching out — we review every request personally.