NotHotDog (Alpha) is an advanced testing tool designed specifically for LLM (Language Model) Powered APIs, catering to both voice and text APIs. This innovative platform serves as a comprehensive solution for automating and simplifying the testing process of AI-driven applications, particularly those involving voice interactions and conversational AI systems.

**Key Features of NotHotDog:**

- **Automated Voice API Testing:** NotHotDog enables users to effortlessly test and monitor voice APIs, WebSocket APIs, and conversational AI systems. By automating repetitive tasks, it significantly accelerates feature deployment and enhances the overall quality of AI applications.

- **Built-in Test Cases:** The tool comes with a variety of built-in test cases that evaluate APIs using diverse voice samples. These tests check for issues such as hallucinations, different accents, and pauses, using both human and synthetic voices.

- **Multi-LLM Evaluation:** Users can compare the output of their APIs across multiple language models, ensuring comprehensive evaluation and optimization.

- **Collaborative Environment:** NotHotDog supports seamless team collaboration, allowing members to share test results and insights, thereby enhancing the collaborative development process.

- **Performance Monitoring:** The tool includes features to check and monitor system latency, helping developers optimize their systems for better performance.

- **Flexible Execution:** Test cases can be run manually or sequentially, providing flexibility in managing workflows and ensuring thorough testing.

- **CI/CD Integration:** NotHotDog integrates smoothly with CI/CD pipelines, enabling continuous testing and deployment processes.

- **Easy Setup:** With intuitive configuration options, NotHotDog offers a quick and easy setup process, making it accessible for developers of all levels.

**Benefits of Using NotHotDog:**

- **Enhanced Quality Assurance:** By automating testing processes, NotHotDog ensures higher quality and reliability of AI applications.

- **Time Efficiency:** The tool reduces the time and effort required for manual testing, allowing developers to focus on innovation and feature development.

- **Cost-Effective:** By streamlining testing workflows, NotHotDog helps in reducing overall development costs.

- **Scalability:** As AI applications grow, NotHotDog provides scalable testing solutions that can adapt to increasing demands.

- **Community and Support:** NotHotDog is backed by a supportive community and offers resources like a blog for continuous learning and updates.

In summary, NotHotDog is a cutting-edge tool designed to revolutionize the testing of LLM Powered APIs. With its comprehensive features and user-friendly interface, it stands out as the go-to solution for developers looking to enhance the quality and efficiency of their AI applications.

NotHotDog (Alpha)

Hamming AI is a revolutionary platform designed to streamline and enhance the testing of AI voice agents, offering a 100x faster alternative to traditional manual testing methods. This innovative tool allows users to create sophisticated, Character.ai-style personas and scenarios, enabling the simulation of hundreds of simultaneous phone calls to identify and rectify bugs within voice agents efficiently.

**Automated Testing at Scale**: With Hamming AI, teams can simulate thousands of user interactions in mere minutes, a process that is 1000x more efficient than manual testing. This capability is crucial for businesses operating in high-stakes domains where errors can lead to significant churn or regulatory issues. By leveraging our platform, companies can ensure their AI voice agents are not only functional but also reliable and error-free.

**Prompt Management and Optimization**: For businesses dealing with B2B clients, Hamming AI offers robust prompt management tools. Users can store, manage, version, and synchronize their prompts with voice infrastructure providers directly from the platform. Additionally, the integrated Prompt Optimizer automates the generation of optimized prompts for large language models (LLMs), reducing manual effort by up to 80%.

**Active Monitoring and Analytics**: Beyond just testing, Hamming AI provides active monitoring features that track and score user interactions in real-time. This proactive approach helps identify and flag issues that require attention, facilitating quick resolution and continuous improvement. Detailed analytics are provided to pinpoint areas needing enhancement, ensuring that voice agents evolve to meet user needs effectively.

**Cross-Team Collaboration and Scalability**: Built with team collaboration in mind, Hamming AI supports cross-functional efforts in developing AI agents. The platform scales effortlessly with your team's growth, accommodating increased demands and complexities without compromising on performance.

**User-Centric Features**: Hamming AI includes a suite of user-centric features such as manual override options for AI scores, powerful search capabilities to root-cause system responses, and sampling tools to visualize performance distributions. These features empower teams to fine-tune their AI voice agents with precision and confidence.

**Platform-Agnostic Compatibility**: Recognizing the diversity in AI and voice infrastructure providers, Hamming AI offers platform-agnostic hooks to simulate conversations, evaluate, and log traces. This flexibility ensures that the platform can integrate seamlessly with various systems, enhancing its utility and applicability across different tech stacks.

**Trusted by Industry Leaders**: Hamming AI has garnered trust from AI-forward enterprises, including Lilac Labs, where it has proven instrumental in enhancing order accuracy at drive-thrus. The platform's ability to simulate thousands of customer calls and identify system gaps rapidly has made it an indispensable part of their infrastructure.

**Conclusion**: Hamming AI stands out as a comprehensive solution for developing and maintaining reliable AI voice agents. With its advanced testing capabilities, prompt optimization tools, active monitoring, and user-friendly features, it is an essential asset for any team looking to launch trustworthy AI voice applications swiftly and confidently. Whether for inbound or outbound agents, Hamming AI ensures that your voice agents are not just functional but also optimized for performance and user satisfaction.

Hamming AI

Hamming AI (YC S24) is a revolutionary platform designed to streamline the testing and development of AI voice agents, enabling businesses to launch reliable and efficient voice applications at unprecedented speeds. With Hamming, companies can automate the testing of their AI voice agents, simulating thousands of user interactions in minutes, which is up to 1000 times more efficient than manual testing methods. This comprehensive testing approach ensures that any potential bugs or issues are identified and resolved swiftly, significantly reducing the risk of errors in a live environment.

One of the standout features of Hamming AI is its ability to create and manage diverse voice characters and scenarios. This functionality allows for a thorough examination of how voice agents perform across a wide range of conversational contexts, ensuring that they are equipped to handle various user interactions effectively. The platform also includes a robust prompt management system, which is particularly beneficial for B2B teams who need to tailor prompts for different clients. This system supports version control and synchronization with voice infrastructure providers, enhancing collaboration and efficiency.

Hamming AI offers a Prompt Optimizer & Playground tool that significantly reduces the time and effort required for manual prompt engineering. This tool automatically generates optimized prompts for large language models (LLMs), and users can test these prompts against a dataset of inputs in the playground. The LLM judges the quality of the outputs, potentially saving up to 80% of manual effort. Additionally, the platform provides active monitoring capabilities that go beyond passive tracking. It actively scores user interactions in real-time and flags issues that require attention, ensuring continuous improvement and reliability of the AI voice agents.

Trusted by AI-forward enterprises, Hamming AI has proven its value in high-stakes domains where accuracy and reliability are paramount. For instance, Lilac Labs, a company that automates drive-thru order-taking, uses Hamming to simulate thousands of customer calls, identifying system gaps and improving order accuracy. This not only provides peace of mind but also directly contributes to revenue growth.

Hamming AI is built to support both inbound and outbound voice agents, making it versatile for various applications. The platform scales effortlessly with team growth, facilitating cross-team collaboration and ensuring that the development of AI agents remains a cohesive team effort. Features such as experiment tracking, manual override of AI scores, powerful search capabilities, and the ability to share datasets and experiment results enhance transparency and collaboration within teams.

In summary, Hamming AI is an indispensable tool for any organization looking to develop and deploy AI voice agents with confidence. Its comprehensive testing capabilities, prompt optimization tools, and active monitoring features make it a leader in the field of automated voice agent testing. By leveraging Hamming AI, businesses can ensure that their AI voice applications are not only efficient and accurate but also capable of handling the complexities of real-world interactions.

Hamming AI (YC S24)

Not Diamond is a revolutionary chatbot that redefines the way you interact with AI. Unlike traditional chatbots that rely on static algorithms, Not Diamond dynamically selects the most appropriate AI model for each prompt, ensuring that you receive the most accurate and relevant responses. This adaptive approach means that Not Diamond is not just a tool, but a continuously evolving companion that learns from your interactions and preferences.

Not Diamond

HoundDog.ai Static Code Scanner is a revolutionary tool designed to proactively prevent PII (Personally Identifiable Information) leaks and ensure privacy compliance by tracking data flows to third-party integrations. This AI-powered static code scanner is engineered to detect vulnerabilities that traditional SAST (Static Application Security Testing) scanners often overlook, making it an indispensable asset for any organization handling sensitive data.

One of the key features of HoundDog.ai is its ability to flag PII leaks in plaintext within logs, files, cookies, and tokens. This proactive detection mechanism ensures that sensitive data is not inadvertently exposed, thereby safeguarding customer and employee information from potential breaches. Additionally, HoundDog.ai tracks data flows to third-party integrations, highlighting any violations of data processing agreements before they escalate into production issues. This early detection allows organizations to address compliance concerns promptly, avoiding costly remediation efforts and potential legal repercussions.

HoundDog.ai is built on a 'shift-left' strategy, which means it integrates data security and privacy controls at the code level. This approach ensures that data protection measures are implemented early in the development process, reducing the risk of PII leaks and enhancing overall security posture. The scanner leverages AI to continuously detect vulnerabilities related to PII, PIFI (Personally Identifiable Financial Information), and PHI (Protected Health Information), providing essential context and remediation strategies.

For privacy compliance, HoundDog.ai automates the tracking and visualization of sensitive data flows. It generates Records of Processing Activities (RoPA) with ease, keeping pace with the rapid changes in PII data as development progresses. This automation significantly reduces the burden on privacy teams, who often struggle with outdated data maps and manual processes. By receiving proactive alerts, organizations can avoid surprises caused by product changes or third-party integrations that introduce new PII without proper reviews.

The ROI (Return on Investment) for using HoundDog.ai is substantial. For every 1 million lines of code, the scanner saves 4,000 hours of time, equivalent to the productivity of 2 full-time employees. Similarly, for every 200 code repositories, the time saved is 3,200 hours, equivalent to 1.5 full-time employees. These productivity gains are further amplified by the avoidance of costly remediation efforts and compliance violations.

HoundDog.ai is unparalleled in its coverage and accuracy, leveraging AI for unmatched detection capabilities. It scans over 10 million lines of code in under 1 minute, making it one of the fastest static code scanners on the market. The platform seamlessly integrates into developer workflows, running from CLI to CI/CD pipelines and integrating with popular tools like GitHub, GitLab, Slack, and Jira.

For enterprise-level security, HoundDog.ai is SOC-2 compliant, supports SSO (Single Sign-On), offers standardized audit logs for SIEM integration, and includes enterprise support. This ensures that organizations can rely on HoundDog.ai to meet their stringent security and compliance requirements.

In the words of Bryan Kaplan, CISO at Juvare, 'For companies handling sensitive data, HoundDog.ai is a real must-have. The scanner is blazingly fast and integrates seamlessly with our GitLab workflow. More importantly, it provides the peace of mind we need by ensuring that sensitive data does not accidentally leak into logs, files, or third-party systems, even with high frequency updates to the codebases.'

HoundDog.ai is backed by incredible investors and supports a wide range of popular frameworks and technologies, making it a versatile solution for any organization. By incorporating sensitive data protection and adopting a shift-left approach to privacy compliance, HoundDog.ai enhances your AppSec program and ensures that your organization remains secure and compliant.

NotHotDog (Alpha)

Related Categories - NotHotDog (Alpha)

API Testing

Voice AI

Automation

CI/CD Integration

Collaboration

Key Features of NotHotDog (Alpha)

Test with built-in test cases

Evaluate output with different LLMs

Share with team

Check latency

Run manually or sequentially

Target Users of NotHotDog (Alpha)

AI Developers

QA Engineers

Product Managers

DevOps Teams

Target User Scenes of NotHotDog (Alpha)

As an AI Developer, I want to automate voice API testing to ensure my AI Agents function correctly and efficiently

As a QA Engineer, I need to evaluate API performance with latency checks to maintain high-quality standards in my applications

As a Product Manager, I want to integrate with CI/CD pipelines to streamline the deployment process and ensure continuous quality

As a DevOps Team member, I need to collaborate with team members on test cases to ensure comprehensive coverage and shared understanding of API behaviors

As an AI Developer, I want to compare results across multiple language models to select the most effective model for my application.

NotHotDog (Alpha) Alternatives

NotHotDog (Alpha)

API Testing

Hamming AI

Automated Voice Testing

Hamming AI (YC S24)

Automated Testing

Not Diamond

AI Chatbot

HoundDog.ai Static Code Scanner

Static Code Analysis