Inline embed in one script tag
Users can embed a rating form with one script tag and a container element. The page says the form renders inline in the app without extra backend work or configuration.
Qabit
Qabit is an embedded AI response evaluation tool that lets teams rate outputs with a structured rubric and store the results. It is built for developers and product teams that need repeatable feedback on chatbots, agents, RAG, and other AI features.
What Qabit does
Qabit is a structured AI response evaluation tool from EvalQA. It is designed to let teams rate individual AI outputs inside their product, using a consistent rubric that is stored and compared over time.
The source describes a lightweight embed flow: one script tag, one form container, and a suite key. Responses can be rated inline or through a modal launcher, and submissions are recorded in a dashboard so teams can review scores, templates, who rated, and when.
Core capabilities
Structured rating workflow
Qabit uses a structured 1–5 rubric so teams can collect comparable scores instead of untracked feedback or one-off judgments.
Tracked eval history
The product stores each response rating and exposes it in a dashboard with scores, templates, rater identity, and timestamps.
Multiple integration modes
The console page documents multiple ways to launch the form, including a modal button, a custom trigger, and a manual API call.
Template coverage across AI use cases
Six built-in templates cover foundation models, agents, RAG, robotics, SaaS features, and end-user feedback, with a Universal template for cases that do not fit neatly.
Rater attribution
The console documentation shows support for rater attribution through an optional rater ID and notes that submissions can be tied to a signed-in user or left anonymous.
Practical use cases
In-product AI response review
Add a rating form directly inside a chatbot, copilot, or agent experience so reviewers can score each response as it is produced.
SaaS feature evaluation
Track quality for AI features such as recommendations, search, or assistant panels where output needs a consistent human judgment record.
Template-based evaluation workflows
Use the built-in templates to evaluate retrieval quality, foundation-model output, or tool-use behavior without building a form from scratch.
Ongoing quality monitoring
Let a team compare scores over time by storing who rated a response and when it was rated, making it easier to spot regressions.
Reviewer-triggered audits
Use the console’s custom trigger or modal mode when you want users or reviewers to open the evaluation form only after completing a task.
Pros and Cons
Pros
- Simple embed flow with one script tag and one element.
- Structured 1–5 ratings make scores comparable across responses and sessions.
- Stored submissions and dashboard views help teams audit what was rated.
- Built-in templates cover several common AI evaluation scenarios.
- Console documentation supports inline, modal, custom-trigger, and manual API embedding modes.
Cons
- The source focuses on embedded response rating and does not document a broader analytics or workflow suite in detail.
- Some setup details, supported integrations, and template behavior are only partially documented in the provided source.
- The public pricing page shows early access and paid tiers, but the exact fit for larger teams or advanced deployment needs is not fully specified.
FAQ
What kinds of work can Qabit evaluate?
Qabit is designed for AI agents, AI-powered SaaS features, and other AI outputs such as chatbots, RAG systems, writing tools, and recommendations. The source also describes support for qualitative knowledge work and says its six templates cover common AI use cases.
How is Qabit different from simple testing?
Qabit combines a structured 1–5 rating form with stored submissions so teams can compare results over time instead of relying on one-off checks or gut feel. The source positions it against ad hoc evaluation and says every eval is tracked in a dashboard.
How does setup work?
The page shows an embed flow with one script tag and one element. The form can render inline in an app, and the console documentation also describes a modal launcher and a direct API path for manual embedding.
How are evals counted and what is the free access offer?
Qabit says one form submission counts as one eval, whether it is a quick rating or a fuller audit. The pricing page states that early access includes 100 free evals with no credit card.
Can teams use Qabit with multiple raters?
The source does not list a public limit on team size. It does describe self-serve access, dashboard tracking, and support for authenticated or anonymous raters, which suggests it can be used by individual reviewers or teams.
Quick Facts
- Category
- AI evaluation / developer tool
- Product type
- Embedded response quality rating form
- Primary users
- Developers, product teams, and AI reviewers
- Deployment
- Web embed with script tag and optional modal launcher
- Templates
- Six built-in templates plus Universal
- Pricing note
- Early access includes 100 free evals; no credit card required
- Source domain
- eval.qa
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