Reliable AI reasoning, from prompt to production
Version prompts, run dataset evaluations, and ship widgets—with runtime logs and three supported model providers: OpenAI, Google Gemini, and Anthropic Claude.
Built for serious prompt workflows
One workspace—design, evaluate, and ship without guesswork.
Prompt design & testing
Structured prompts, version history, and runs across OpenAI, Gemini, and Claude.
Datasets & evaluation
Upload CSVs, benchmark versions, and compare before production.
Widgets & deployment
Turn approved prompts into embeddable chat with a short script.
How teams use FuelR
Draft → evaluate → deploy
Design
Iterate on prompts and variables with history.
Evaluate
Run datasets across models you connected.
Optimize
Compare versions, cost, and failure modes.
Deploy
Launch widgets and watch runtime logs.
Three LLM providers
Same prompt, comparable runs—pick the model that fits
OpenAI
Google Gemini
Anthropic Claude
Why teams standardize on FuelR
Multi-provider testing
Compare outputs and latency across OpenAI, Gemini, and Claude.
Dataset-backed releases
Promote versions with evidence—not only gut feel.
Production widgets
Ship chat without rebuilding core infrastructure.
Fast integration
Embed with a script; keep prompts centralized.
Integration APIs
Bring prompts & evaluations into your stack
Stable HTTP contracts for internal tools and pipelines—with scoped keys and full revoke/rotate support.
Prompt version pull
Fetch metadata and history from a versioned public API surface.
Scoped API keys
Read-only integration keys with lifecycle controls your security team expects.
Evaluation payloads
Pull runs and per-item results to power custom QA dashboards.
Frequently asked questions
Straight answers about how FuelR fits your workflow
Which LLM providers are supported?
OpenAI, Google Gemini, and Anthropic Claude—so you can compare behavior and cost before standardizing.
Can we evaluate prompt versions with datasets?
Yes. Upload CSVs, run evaluations against specific versions, and review quality and spend before rollout.
How do chat widgets ship to production?
After validation, generate a widget and embed it with a short script—no rewrites to your core app.
Is there a free tier?
You can start with core prompt workflows and expand into advanced evaluation and deployment as usage grows.
How are API keys stored?
Keys are encrypted at rest and only decrypted for outbound provider calls. Workspace data stays under your control.
Ship dependable AI reasoning sooner
Join teams using FuelR to design prompts, run evaluations, and launch widgets—with logs and APIs that match how you already work.
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