For · developers
For developers
Verified model fields, structured testing playbooks, and Markdown-exportable evidence briefs for engineers preparing an integration. The platform never declares a winner — you decide which candidate fits your workload.
For developers
Evaluate AI models the way you evaluate any other infrastructure
Verified model fields, structured testing playbooks, and Markdown-exportable evidence briefs for engineers preparing an integration. The platform never declares a winner — you decide which candidate fits your workload.
Matching workflow kit
The kit packages the recommended lessons, exercises, lab playbooks, prompt sets, and templates for this audience into a single ordered work document. Markdown export available at /api/kits/developer-model-evaluation.
Matching outcome workflow
Each outcome routes this audience through the existing learn / apply / verify surfaces and ends with named Markdown artifacts — no recommendations, no rankings.
Example situation
Illustrative — not a recommendation.
Your team is about to wire a model into a backend service. There is no shortlist on file, no decision brief, and no prompt-testing routine. The PR is open and the deadline is this week.
Start here
The developer path sequences hosted/host separation, modality channels, structured output, and the prompt-testing playbook — the four lessons most likely to break an integration if skipped.
Who this is for
- Engineers preparing an AI model integration in a production system.
- Teams comparing 2–4 candidate models with verified context, output, and modality fields.
- Reviewers who need a paste-ready evidence brief and a written test plan.
Common problems we hear
- Unclear API model IDs across snapshots, regions, and aliases.
- Conflating the model creator with the hosting platform that bills you.
- Misreading context window vs max output token limits.
- Assuming structured-output reliability without testing your schema.
- Shipping an integration before running your own prompt + latency + cost tests.
What you can do here
4 entry points
Each card opens the canonical surface the workflow routes through — no parallel UI.
Read the developer learning path →
Four lessons + three exercises + two pre-seeded workflows + the prompt-testing playbook + the structured-extraction prompt set.
Run the prompt-testing playbook →
Minimum repeatable prompt-test routine; ends with a Markdown evidence brief.
Inspect hosted vs creator pricing →
Walk the hosted-inference guided demo and confirm the separation between model creator and billing platform.
Generate a comparison + brief →
Build a comparison from your candidate slugs, then export an evidence brief in Markdown.
What you can produce here
- Shortlist URL from the selection workspace.
- Comparison URL from the comparison builder.
- Model evaluation plan (paste-ready Markdown).
- Prompt test matrix (paste-ready Markdown).
- Decision evidence brief.
Every artifact is paste-ready Markdown, a deterministic catalogue URL, or a structured checklist — no generated scores, no model rankings.
Artifact walkthrough
Per-artifact instructions — open the route, capture the output, paste into the brief. Substitute your own values.
Shortlist URL
Open /select with the use case and lifecycle=active filter; copy the URL.
Comparison URL
Open /compare/build with 3–4 candidate slugs and the relevant useCase filter; copy the URL.
Markdown evidence brief
Open /briefs/build with the shortlist slugs and export the Markdown brief.
External test plan
Run the prompt-testing playbook against your candidates and attach the plan to the brief.
Suggested workflow
Step 1 · Learn
Developer learning path →Read the role path that frames the workflow with lessons + exercises.
Step 2 · Apply
Selection workspace →Open the workspace the path routes you through and capture your inputs as a URL.
Step 3 · Test
Prompt testing basics →Run the playbook or template that matches the failure modes you need to surface.
Step 4 · Brief
Decision brief builder →Export a Markdown evidence brief that ships with your reviewer pack.
Step 5 · Verify
Citation registry →Walk the citation + freshness trail before sign-off.
Want a worked example first? Walk the Hosted inference demo.
What this audience page does not promise
- Pick the right model for your workload.
- Replace your own prompt, latency, rate-limit, or cost validation.
- Assert SLA, uptime, or production-ready status.