> For the complete documentation index, see [llms.txt](https://docs.layerlens.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.layerlens.ai/more-in-this-section/schedule-a-demo.md). # Schedule a demo See LayerLens Stratix on real data, with real models, in 30 minutes. A solutions engineer walks you through picking a model from the public catalog, instrumenting a sample agent, running an evaluation with an LLM judge, and tightening that judge with GEPA — end-to-end. You leave with a working playbook for your team's first evaluation, not a sales pitch. If you'd rather start hands-on right now, both Stratix Public and the Free tier of Stratix Premium are open — no calendar invite required. ## Three ways to start ### 1. Schedule a 30-minute walk-through Email with a couple of times that work for you and a one-line description of what you're trying to evaluate. We'll send a calendar invite, a short pre-call questionnaire, and a copy of the demo dataset so you can follow along live. Bring a teammate. The demo is more useful when the builder, the operator, and the buyer are all in the room. ### 2. Try Stratix Public — no signup Browse 175+ models and 52+ benchmarks anonymously at the public catalog. Run head-to-head model comparisons. Read the quarterly reports. Decide if the catalog answers your "which model is best for X" question before you spend any time on procurement. * [Stratix Public — anonymous browsing](/2.-get-started/public.md) * [Browse models](/2.-get-started/browse-models.md) * [Compare two models](/2.-get-started/compare-two-models.md) ### 3. Sign up for Stratix Premium — free tier Create a workspace, invite a teammate, run your first private evaluation on your own data. The free tier is permanent; you only pay for compute-heavy runs in ECU credits once you're ready. * [Sign up for Premium](/2.-get-started/sign-up.md) * [Your first evaluation in 10 minutes](/8.-evaluate-score-the-outputs/01-first-evaluation.md) ## What we cover in a 30-minute demo The demo follows the Stratix workflow. We pick whichever of your real use cases is closest to "we need to know if this is good enough to ship" and walk it through four of the six stages live. 1. **Select** — open the public catalog, filter to the model family relevant to your problem, compare two finalists head-to-head, and pull up the latest quarterly report on that family. * Reference: [Select — workflow stage](/5.-select-pick-the-model/workflow.md) 2. **Build** — instrument a sample agent (LangChain, LlamaIndex, or your stack of choice) with the Python SDK so it emits traces into the workspace. * Reference: [Build — workflow stage](/6.-build-wire-your-code/workflow.md) 3. **Evaluate** — run an evaluation on a small dataset, score the outputs with a code grader plus an LLM judge, and read the verdict + root-cause panel. * Reference: [Evaluate — workflow stage](/8.-evaluate-score-the-outputs/workflow.md) 4. **Improve** — tighten the judge with GEPA against a labelled fixture set, re-run the evaluation, and watch the regression / improvement land in the dashboard. * Reference: [Improve — workflow stage](/9.-improve-tune-the-system/workflow.md) If your audience includes a buyer or an IT reviewer, we also cover the [trust and security posture](/more-in-this-section/trust.md), pricing, and what a typical Enterprise rollout looks like. ## FAQ ### Can I bring my own data? Yes. Most teams do. You can upload a dataset in CSV / JSONL, register a private benchmark on top of it, and run any model in the catalog — or a BYOK custom model — against it. See [BYOK custom models](/5.-select-pick-the-model/byok-custom-models.md). ### How long is the trial? There is no trial countdown. * **Stratix Public** is permanently free and anonymous. * **Stratix Premium Free tier** is permanent. You can build evaluations, run judges, and ingest traces up to the free-tier limits indefinitely. * **Stratix Premium PAYG** charges only for compute-heavy runs in ECU credits — you pay for what you use, when you use it. Details: [Pricing — overview](/3.-pricing/03-pricing.md), [Free tier details](/3.-pricing/free-tier-details.md). ### Do I need to install anything before the demo? No. The 30-minute demo runs entirely in the browser plus a shared notebook. If you'd like to follow along in your own environment, `pip install layerlens --extra-index-url https://sdk.layerlens.ai/package` ahead of time and we'll wire your local SDK into the demo workspace. ### Can my whole team join? Yes. We recommend pulling in at least one builder, one operator (or on-call lead), and one decision-maker so the conversation covers the full lifecycle in one pass. ### What if I'm evaluating Stratix for procurement? Send a note to and we'll route you to a longer technical session plus a security review track with . See [Trust and security](/more-in-this-section/trust.md). ## Where to next * [Trust and security](/more-in-this-section/trust.md) * [How Stratix compares](/1.-introduction/how-stratix-compares.md) * [Pricing — overview](/3.-pricing/03-pricing.md) * [Personas and paths](/1.-introduction/personas-paths.md) --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter: ``` GET https://docs.layerlens.ai/more-in-this-section/schedule-a-demo.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.