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Bottest

Development of Bottest.ai

Bottest.ai was conceived in the heart of San Francisco's AI corridor to resolve a pressing gap: the absence of robust, scalable testing infrastructure for AI applications. Designed to empower AI startups and enterprise R&D teams, the platform centralizes automated chatbot testing with actionable insights, enabling consistent, rapid iteration cycles in AI deployments.

Country

San Francisco

Industry

Fintech

Timeline

6 months

Project Team

Cross-functional team of 4 engineers

About Bottest.ai

12,000+

Bots Evaluated

40+

Companies Onboarded

18 Tests

Avg. Test Suite Size

25,000+

Monthly Evaluations

PARTNERSHIP GOAL

Full-stack development partnership covering the entire product lifecycle — from ideation, development to launch and optimization.

BEFORE

AI companies struggled with manual test management and inconsistent chatbot behavior validation.

AFTER

Bottest.ai provided a no-code interface to automate tests, analyze outcomes, and optimize AI product releases.

THETECHNOLOGIES WE USED IN THE PROJECT:

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What WeDelivered

Provided a centralized dashboard for managing chatbot tests across environments and suites.

Delivered an analytics layer to visualize success rates, response times, and usage metrics.

Enabled multi-environment suite run reporting with comparison and PDF exports.

Built a SaaS-friendly architecture with role-based access control and evaluation limits.

WHAT THE COLLABORATION Process Looks Like

1 Problem Discovery

AI startups shared their difficulty in maintaining test stability across iterations.

2 Solution Architecture

A modular test suite was designed with scalable integration points and analytic layers.

3 Rapid Prototyping

We delivered the MVP with robust UI, bot interaction capture, and reporting mechanisms.

4 Cloud Deployment

The platform was deployed on modern cloud infrastructure using Vercel and Node.js backend.

5 Testing & QA Automation

Regression checks, trend analytics, and test suite versioning were streamlined via CI/CD pipelines.

6 Ongoing Optimization

Post-launch analytics monitoring and performance tuning ensured adoption by enterprise clients.

ImplementedFeatures

Detailed Test Playback Comparison

Visually compare the replayed bot conversation against the baseline response for each iteration. This ensures dialogue accuracy and highlights discrepancies across multiple versions of the chatbot in a clear, side-by-side layout.

Comprehensive Suite Run Reports

Gain full visibility into test suite executions across environments such as Production, Staging, and Development. Easily track who initiated each run, access downloadable PDFs, and navigate to interactive reports for deeper insights.

Visual Health Check of Bot Tests

Quickly assess the stability of your bot through a timeline of the last 10 test results. Color-coded indicators (green for pass, red for fail) provide a high-level snapshot, while options to re-run or view full results streamline quality assurance.

Brisktech is a results-driven software development agency trusted by clients worldwide. We’ve built 100+ digital products, achieving 40% faster delivery times and a 90% retention rate. From custom web apps to enterprise-grade systems, our expertise ensures technology that performs and scales. Let Brisktech turn your ideas into digital excellence.