One field — paste a link or drop a screenshot right into it. We'll route, score it, and keep it in your history. No login required.
Learn product taste
A public preview of representative corpus examples, edited for clarity without changing the underlying taste call. The full corpus stays private; this page exists to build trust and alignment.
Prompt must stay focused on landing page evaluation. Injection and off-topic requests are blocked.
Fast uses Haiku; switch to Sonnet or Opus for a higher-capability side-by-side.
Leave blank to use the selected tier's OpenRouter default.
Manage your profile, subscription, API access, and integrations.
Create personal API tokens to call the taste model from your own tools.
Bring tastellm into the tools you already build with — as a quality "booster" that reviews plans, prompts, diffs, and UI without leaving your workflow. Connect any MCP-capable tool to the tastellm server below.
Use tastellm as a product-taste "booster" inside the tools you already build with — Claude Code, Codex, Cursor, Lovable, Replit, and v0. It reviews plans, improves prompts, critiques diffs, and suggests the next iteration without leaving your workflow.
tastellm exposes its taste tools over a remote MCP (Model Context Protocol) server. Connect any MCP-capable tool to the URL below, then ask it to use the taste_* tools while building.
Expand your tool for step-by-step setup and a copy-paste config. Claude Code and Codex also have ready-to-install packages in the integrations/ folder of the repo.
Once connected, prompt your tool to use tastellm at each stage:
Pricing
Run product evaluations in the app, bring tastellm into your coding tools through MCP, and use the metered API when your own agents need product judgment on demand.
$0
For trying the evaluator and seeing how corpus-grounded taste feedback feels.
$200/mo
For builders who want repeat evaluations, provider comparison, and account-backed history.
$0.05/call
For agentic development systems that need product judgment programmatically.
Use tastellm across the product surfaces a customer actually experiences.
Connect your own agents to a product-taste check before, during, and after they build.
The product is built around a reviewed corpus and customer-specific taste preferences.
Paste their landing page URL, run an evaluation, then copy the coding-agent prompt and show how the critique turns into buildable fixes.
Connect the MCP server, ask the coding tool to review a plan or diff with tastellm, then apply the top recommendations.
Create a `ptk_` token, call `/v1/api/evaluate/url`, and show the result plus usage receipt, structured error model, and idempotency key support.
Free trial evaluation, Pro at $200/month with 100 included evaluations, and developer API usage at $0.05 per call after 25 free monthly calls.
Service Status
Check whether tastellm is operating normally, see core component health, and read public updates during deployments or outages.
Important deploy, outage, and recovery notes will stay here for customers and builders.
Paste a screenshot, describe what design taste to capture, and we'll format it for admin review before it enters the core model.
Review taste insight contributions and evaluation feedback before they enter the corpus.