01 / Requirements
Know what matters
The outcome, the stack already in place, the person who still has to approve, and the detail that can sink the concept.
Approach/Knowledge first
Threads, specs, and the way the work already runs become requirements, a solution concept, and a plan. Knowledge solving is the first step. Engineering follows.
Before the build
The request shows up as a thread, a deck, and a spreadsheet. Someone has to turn it into a decision while the opportunity is still warm. We used to start at the build. Now, as AI experts rather than feature engineers, we solve the knowledge problem first.
Before the build / 014·Live
Capture
Threads, specs, calls, and the systems already in place.
Explore
Constraints, open questions, and what actually has to be true.
Shape
Viable approaches, and the tradeoffs between them.
Build
A starting point the team can review, then ship.
The practice
The early work stays in one place, with the decisions behind the design. Select a step. The concept abovebeside it shows what that step is solving.
01 / Capture
02 / Explore
Path A
Assist the expert
Path B
Run the workflow
03 / Shape
04 / Build from what you know
Feasibility
The open question still blocks the architecture.
What changes
01 / Speed
Move while it's warm
A credible concept while the conversation is still alive.
02 / Options
Look at more than one path
03 / Memory
Carry the knowledge forward
04 / Early catch
Catch the miss early
Room to explore
We put the constraints, the tradeoffs, and the open feasibility questions on the table, so you can compare real options before anyone commits to an architecture.
01 / Requirements
The outcome, the stack already in place, the person who still has to approve, and the detail that can sink the concept.
Path A
Path B
02 / Tradeoffs
Compare approaches across cost, risk, time, and how the work actually runs. One answer is not the point.
03 / Feasibility
Pressure-test the concept against data, interfaces, and the steps a person still owns before anyone commits to an architecture.
What carries forward
Years of architectures, integrations, and the calls that held up in production. That knowledge stays active, so the next concept does not start from scratch.
Start here
An AI team that understands the problem before it writes the system. Send what you have; we will tell you what we would look at first.
AI insights, blogs, case studies, software tips & events - delivered monthly.
We craft intelligent web, mobile, cloud, and AI/ML products that help startups and enterprises move faster, smarter, and at lower cost.