Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Kayba empowers AI agents to enhance their performance through experiential learning. By analyzing execution traces, it identifies and rectifies failures while assessing the effectiveness of these corrections. Rather than depending on generic evaluations that fail to clarify the reasons behind an agent's shortcomings, Kayba utilizes the agent's unique traces to identify failure modes and create tailored benchmarks relevant to the user's specific context, enabling teams to gauge improvements against authentic production failure patterns. With a simple one-line setup, Kayba integrates tracing into the agent, continuously monitors its performance, and promptly alerts users when any step ceases to be recorded. Since even effective tracing can degrade as teams implement changes, Kayba actively reviews existing tracing, highlights any broken elements, identifies the specific file requiring attention, and relays the issue to a coding agent via MCP. This coding agent then addresses the problem, after which Kayba confirms that the trace is fully functional again, ensuring ongoing reliability and performance enhancement. Ultimately, this process allows teams to maintain high standards of operational continuity while fostering continual improvement in their AI systems.
Description
qarunbook serves as a dedicated workspace for conducting manual and acceptance testing, which ultimately determines the fate of software releases. You can create a test plan from scratch, import an existing one in formats like Markdown, CSV, or Excel, or utilize our complimentary AI agent to generate a plan tailored to your needs; each test case includes essential preconditions, step-by-step actions, and expected outcomes. Testers are required to document a pass or fail status across all platforms where the software is deployed, including web, Android, and iOS, and any issues uncovered during testing are logged directly on the relevant checks. When a problem is identified and subsequently marked as fixed, the check will indicate "retest" instead of "passed," remaining in this state until a retest is performed to verify the resolution. Coding agents can connect through MCP using their unique member tokens, allowing them to access failure reports, log results, and resolve issues; every entry they make is recorded under a specified name. Clients can easily share their findings through a link, PDF, or spreadsheet format, ensuring smooth communication. Additionally, our pricing model is structured to be flat per workspace rather than per user seat, and the free plan is accessible without requiring any payment information. This streamlined approach not only enhances collaboration but also simplifies the testing process across various teams.
API Access
Has API
No
API Access
Has API
No
Screenshots View All
No images available
Integrations
Model Context Protocol (MCP)
No
Pricing Details
Free
Free Trial
No
Free Version
Yes
Pricing Details
$29/month
Free Trial
No
Free Version
Yes
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Kayba
Founded
2025
Country
United States
Website
kayba.ai/
Vendor Details
Company Name
qarunbook
Founded
2026
Country
Nigeria
Website
qarunbook.com