AI DECISION WORKSPACE

Build the AI stack that fits your work.

Define the work. Test the finalists. Know when it is worth changing.

OpenGPT Finder

Choose task

Pick a task to see candidates immediately. No typing required.

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  1. Choose your AI stack.
  2. Prove it on your work.
  3. Know when to change.

Start with a use case

Choose a use case to see candidates. Refine only if you need to.

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Start with the decision

Create a decision brief
From a decision to a stack you can defend
02 · DECISION LOOP

From a decision to a stack you can defend

One Decision Brief carries the workload, candidates, evidence, tests, choice, and future review trigger.

  1. 01

    Define the work

    Capture the workloads, priorities, constraints, current setup, and cost boundary.

  2. 02

    Build the shortlist

    See candidates with Public evidence, assumptions, unknowns, and alternatives.

  3. 03

    Test the finalists

    Run a local-first Task Pack against representative work and forbidden errors.

  4. 04

    Record the decision

    Choose Switch, Use both, Test longer, Do not switch, or Wait for more evidence.

  5. 05

    Monitor what matters

    Re-evaluate only when a material change affects the saved Decision Brief.

See a Decision Brief example
DECISION BRIEF · 001CUSTOMER SUPPORT STACK
CurrentModel A
CandidateModel B
RecommendationTest before switching
Why
  • Public evidence

    Better long-context fit

  • Assumption

    Lower estimated operating cost

  • Unknown

    Migration effort remains unknown

03 · EVIDENCE

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.

Explore public evidence