Product features

Everything you need to evaluate AI models before production your application.

Compare model behavior, control prompts and context, understand token and cost trade-offs, and keep every experiment organized in one browser workspace.

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01 / Compare models

Compare model responses under the same conditions.

Run one prompt against selected models and inspect the results side by side. The task stays the same, so differences in behavior, quality, token usage, and cost are easier to see.

One prompt. Two models. One evaluation view.

Instead of copying a prompt between separate provider playgrounds, keep the experiment together and compare the result where the differences are visible.

  • Review response quality and instruction following side by side.
  • Keep model-specific token and estimated cost data attached to each answer.
  • Work across OpenAI, Anthropic, and Google AI using your own keys.
Explore model comparison

02 / Prompts & context

Control what each model receives.

System prompts and conversation history change both the output and the economics of a request. EidoStack makes those inputs configurable and visible.

Test instructions without losing sight of context.

Configure a system prompt, select a context strategy, and see how much of the model's context window the request consumes.

  • Use full, windowed, or smart context depending on the workload.
  • Inspect estimated tokens against the selected model context window.
  • Observe how system-prompt changes affect model behavior.

03 / Tokens & cost

Measure every experiment.

A model decision is not only about which response looks best. Track token consumption and estimated provider cost so quality and economics can be evaluated together.

See the usage behind the output.

Inspect model usage at response level, then zoom out to understand patterns across chats, models, providers, and selected time ranges.

  • Input and output token visibility.
  • Estimated provider cost per experiment.
  • Usage analytics for longer-term comparison.

04 / Workspace

Keep evaluation work organized.

Model evaluation is iterative. Save chats, group related experiments, and return to previous work without rebuilding the context from scratch.

A workspace, not a disposable playground.

Use chats as persistent evaluation sessions and folders as lightweight structure for products, workloads, clients, or benchmark themes.

  • Persistent conversations and evaluation history.
  • Folders for grouping related experiments.
  • Automatic chat naming for faster navigation.

05 / Security

Your provider keys stay under your control.

EidoStack uses a client-side encrypted API vault for normal model evaluation. You bring your own provider credentials and keep the provider relationship in your hands.

Browser-side key protection.

Provider keys are encrypted in your browser with a master password. Encrypted records stay in browser storage; plaintext keys are held in memory only while the vault is unlocked.

  • Client-side encryption using browser cryptography.
  • Provider requests use your own credentials.
  • Encrypted vault backup and restore.
Read about security

01

Encrypted locally

Your provider credentials are protected in the browser instead of being stored as readable server-side secrets.

02

Bring your own keys

Keep provider billing, limits, and account ownership directly between you and the model provider.

03

Backup without plain-text export

Move or recover your vault using an encrypted backup rather than a raw credential file.

Evaluation workflow

One workspace, from experiment to decision.

Find the right model for your workload, prompt, context, and budget by keeping the evaluation loop together.

  1. 01Choose the task you need to solve
  2. 02Select the models you want to evaluate
  3. 03Configure the system prompt and context strategy
  4. 04Run the same prompt
  5. 05Compare the responses
  6. 06Inspect tokens, estimated cost, and context usage
  7. 07Refine the prompt or strategy
  8. 08Choose the model and configuration for your application

Common Questions

What is EidoStack?
EidoStack is a browser-based AI model evaluation workspace for engineers and developers. It combines model responses with context, token, and estimated cost information so you can choose a model before integrating it into production.
Which AI providers does EidoStack support?
EidoStack supports models from OpenAI, Anthropic, and Google AI using your own provider API keys. Provider and model availability can evolve as APIs change, so the model selector in the application is the source of truth for currently available models.
Can I send the same prompt to different models?
Yes. Model comparison lets you evaluate responses under the same task and inspect differences in output together with usage information such as tokens and estimated cost.
Does EidoStack decide which model is best?
No. There is no universally best model for every application. EidoStack gives you the responses and measurements needed to make the decision based on your own workload.
What can I measure in EidoStack?
EidoStack focuses on token consumption, estimated API cost, and context-window usage. These metrics are shown together with the model output so you can evaluate quality and resource usage in the same workflow.
Why does context usage matter?
Conversation history, system prompts, and the current request all consume context. As context grows, requests can become more expensive and eventually approach a model's context limit.
What are context strategies?
Context strategies control how previous conversation information is sent with a request. Depending on the task, you may want the complete history, a smaller recent portion, or relevant information retrieved semantically.
Does EidoStack store my API keys?
EidoStack's normal evaluation workflow uses a client-side encrypted API vault. Provider keys are encrypted locally with the Web Crypto API and are designed to remain under your control rather than being stored as readable credentials on the EidoStack server.
Do I still pay OpenAI, Anthropic, or Google for API usage?
Yes. EidoStack uses a Bring Your Own API Keys model. API inference is billed according to the provider account and pricing associated with the key you connect.
Is EidoStack a production observability platform?
No. EidoStack is focused primarily on pre-production model evaluation and experimentation: comparing models, testing prompts, understanding context, and analyzing cost before deployment.

Make the decision with evidence

Ready to compare models on your own prompts?

Start free, connect one provider, and keep the evaluation in your browser.

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You'll need your own provider API key. It's stored in an encrypted browser vault and used directly with the provider. No installation required.

AI Model Comparison and Evaluation Features