1 to 100: Braintrust

Braintrust, an enterprise-grade platform for building AI products, addresses the struggles teams face when traditional software development tools fall short in the AI landscape. Ankur Goyal, co-founder and CEO, explains that Braintrust's platform offers tools for evaluations, logging, and prompt experimentation, enabling major companies to build AI software more effectively. A core component of Braintrust is its SDK, which allows users to write evaluations that function like unit tests, providing a UI that helps engineers understand test case outcomes. Braintrust helps teams create golden datasets to benchmark their tools, streamlining the incorporation of user feedback and facilitating automatic optimization. Goyal emphasizes that Braintrust aims to prioritize engineers' time by focusing on impactful data points rather than striving for perfect scoring.

Outlines

Part 1: Introduction, Core Concepts

Part 2: Product Features, Technical Challenges

Part 3: Origin Story, Philosophy

Part 4: Sales, Distribution, Growth

Part 5: Team Culture, Hiring

Part 6: Future Outlook, Recruitment

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1 to 100

Part 1: Introduction, Core Concepts

The Importance of Consistent Problem Identification and Codified Learning in AI

Introducing Braintrust: An Enterprise-Grade Stack for AI Product Development

Part 2: Product Features, Technical Challenges

Braintrust's AI Software Solutions: Evals, Logging, and Prompt Playground

Identifying Burning Problems: Evals, Logging, and Prompt Experimentation

The Complexity of AI Evals: From Jupyter Notebooks to Internal Tooling

The Core Challenge: Managing State and Complexity in AI Evals

Creating Golden Datasets: Incorporating User Feedback and Reducing Friction

Prioritizing Human Time: Evals as a Tool for Efficient Debugging

Part 3: Origin Story, Philosophy

The Genesis of Braintrust: From Figma and Impura to Solving Real-World Problems

Customer Success as a Moat: Focusing on Helping Customers Succeed

Perspective and Motivation: Finding the Best Way for You

Lessons from Empyra and Figma: Embracing Your Strengths and Stage-Appropriate Leadership

Part 4: Sales, Distribution, Growth

Cultivating Relationships: The Foundation for Early Distribution and Sales

Collaborative Sales: Aligning on the Problem and Targeting Specific Customers

Balancing Customer Feedback: Deliberate Inputs and Consistent Problems

Part 5: Team Culture, Hiring

Hiring for Culture: High Bar, Strong Culture, and Self-Motivation

The Interview Process: Exposing Candidates to the Braintrust Working Style

Fostering Independence: Access to Raw Data and a Fuzzy Future

Building Trust: Long-Term Relationships with Investors

Part 6: Future Outlook, Recruitment

The Future of AI Development: Prompts, Models, and Data

Hiring at Braintrust: Systems People, Product Engineers, and DevRel

1 to 100: Braintrust

1 to 100

Part 1: Introduction, Core Concepts

00:00The Importance of Consistent Problem Identification and Codified Learning in AI

The Importance of Consistent Problem Identification and Codified Learning in AI

01:20Introducing Braintrust: An Enterprise-Grade Stack for AI Product Development

Introducing Braintrust: An Enterprise-Grade Stack for AI Product Development

Part 2: Product Features, Technical Challenges

02:31Braintrust's AI Software Solutions: Evals, Logging, and Prompt Playground

Braintrust's AI Software Solutions: Evals, Logging, and Prompt Playground

07:11Identifying Burning Problems: Evals, Logging, and Prompt Experimentation

Identifying Burning Problems: Evals, Logging, and Prompt Experimentation

09:15The Complexity of AI Evals: From Jupyter Notebooks to Internal Tooling

The Complexity of AI Evals: From Jupyter Notebooks to Internal Tooling

11:45The Core Challenge: Managing State and Complexity in AI Evals

The Core Challenge: Managing State and Complexity in AI Evals

13:40Creating Golden Datasets: Incorporating User Feedback and Reducing Friction

Creating Golden Datasets: Incorporating User Feedback and Reducing Friction

17:57Prioritizing Human Time: Evals as a Tool for Efficient Debugging

Prioritizing Human Time: Evals as a Tool for Efficient Debugging

Part 3: Origin Story, Philosophy

21:31The Genesis of Braintrust: From Figma and Impura to Solving Real-World Problems

The Genesis of Braintrust: From Figma and Impura to Solving Real-World Problems

25:10Customer Success as a Moat: Focusing on Helping Customers Succeed

Customer Success as a Moat: Focusing on Helping Customers Succeed

26:58Perspective and Motivation: Finding the Best Way for You

Perspective and Motivation: Finding the Best Way for You

27:57Lessons from Empyra and Figma: Embracing Your Strengths and Stage-Appropriate Leadership

Lessons from Empyra and Figma: Embracing Your Strengths and Stage-Appropriate Leadership

Part 4: Sales, Distribution, Growth

32:55Cultivating Relationships: The Foundation for Early Distribution and Sales

Cultivating Relationships: The Foundation for Early Distribution and Sales

34:37Collaborative Sales: Aligning on the Problem and Targeting Specific Customers

Collaborative Sales: Aligning on the Problem and Targeting Specific Customers

37:54Balancing Customer Feedback: Deliberate Inputs and Consistent Problems

Balancing Customer Feedback: Deliberate Inputs and Consistent Problems

Part 5: Team Culture, Hiring

39:56Hiring for Culture: High Bar, Strong Culture, and Self-Motivation

Hiring for Culture: High Bar, Strong Culture, and Self-Motivation

42:23The Interview Process: Exposing Candidates to the Braintrust Working Style

The Interview Process: Exposing Candidates to the Braintrust Working Style

44:45Fostering Independence: Access to Raw Data and a Fuzzy Future

Fostering Independence: Access to Raw Data and a Fuzzy Future

47:57Building Trust: Long-Term Relationships with Investors

Building Trust: Long-Term Relationships with Investors

Part 6: Future Outlook, Recruitment

50:28The Future of AI Development: Prompts, Models, and Data

The Future of AI Development: Prompts, Models, and Data

54:30Hiring at Braintrust: Systems People, Product Engineers, and DevRel

Hiring at Braintrust: Systems People, Product Engineers, and DevRel