OpenGPTAI decision workspaceCurrentModel A
CandidateModel B
- 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 your AI stack.
- Prove it on your work.
- Know when to change.
Start with the decision
01+
Build 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
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.
03 · EVIDENCE
Explore public evidencePublic 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.