Decision intelligence for software teams
Paste your requirements, constraints, and what you don't know yet. Jev Model returns structured options ranked by confidence score so your team can commit to a path instead of debating it for another two weeks.
Get early accessContext: migrate our backend before the Q3 load spike — team of 6, 10-week window, Kubernetes already in use
Aligns with your 18-month scale target and existing Kubernetes investment. Main risk: 10-week window overlaps Q2 feature freeze — mitigable with a strangler fig rollout.
Lower short-term disruption, but your 3× traffic assumption pushes past the DB contention threshold you flagged. Buys 2 years, not 5.
The unknowns you listed resolve in 2–3 weeks, not quarters. Delaying past the load spike produces no new signal and increases migration cost during a stressed system.
Three steps from ambiguity to a decision you can defend.
Requirements, constraints, team context, known unknowns. Unstructured prose is fine — the model extracts what it needs.
Structured alternatives with the reasoning behind each. Not generic best practices — grounded in the specific constraints you gave it.
Probability weights show which paths are solid and which assumptions are shaky. Commit with the math visible.
Not for trivial choices. For the decisions where you've spent a week going back and forth and still don't have a clear winner.
Architectural forks, build-vs-buy, refactor scope, migration sequencing. Get structured reasoning you can share with stakeholders and actually defend.
Feature trade-offs, scope cuts, competing priorities under a deadline. Move from "it depends" to a ranked list with confidence scores you can bring to the room.
When engineering and product are roughly aligned but nobody has the same picture of the risk profile. One structured output in front of everyone breaks the loop.
We're onboarding teams in small batches. Leave your work email and we'll reach out when a spot opens.