- Public evidence
Better long-context fit
- Assumption
Lower estimated operating cost
- Unknown
Migration effort remains unknown
AI DECISION WORKSPACE
Build the AI stack that fits your work.
Define the work. Test the finalists. Know when it is worth changing.
Choose task
Pick a task to see candidates immediately. No typing required.
- Choose your AI stack.
- Prove it on your work.
- Know when to change.
Start with a use case
Choose a use case to see candidates. Refine only if you need to.
Start with the decision
Create a decision briefBuild a new AI stack
Define the workloads, constraints, and roles your stack must cover.
Decide→02⇄Replace something I use
Compare the current setup with candidates before you switch.
Compare→03✓Validate a purchase
Use representative tasks and pass conditions to test the finalists.
Test→04◎Monitor my current stack
Review only changes that materially affect this decision.
Monitor→From a decision to a stack you can defend
From a decision to a stack you can defend
One Decision Brief carries the workload, candidates, evidence, tests, choice, and future review trigger.
- 01
Define the work
Capture the workloads, priorities, constraints, current setup, and cost boundary.
- 02
Build the shortlist
See candidates with Public evidence, assumptions, unknowns, and alternatives.
- 03
Test the finalists
Run a local-first Task Pack against representative work and forbidden errors.
- 04
Record the decision
Choose Switch, Use both, Test longer, Do not switch, or Wait for more evidence.
- 05
Monitor what matters
Re-evaluate only when a material change affects the saved Decision Brief.
See a Decision Brief example
Public evidence is the starting point—not the decision
OpenGPT keeps published facts, your real-task results, assumptions, unknowns, and Historical records separate. Different benchmark scales never become a fake combined score.