Introduction
Getting Started
Getting Data
Working with Results
Validating with Humans
No-code Apps
How-to Guides
- Starter Tutorial
- Estimating costs
- Piping question answers & comments
- Looping & piping questions
- Creating question variants
- Answering instructions
- Using videos in a survey
- Using images in a survey
- Updating agent traits
- Save & load objects
- Using PDFs in a survey
- Using Wikipedia tables in a survey
- Using EDSL to sense check data
- FileStore examples
- Using data with surveys: FileStore
- Adding metadata to survey results
- Skip logic & scenarios
- Agent dynamic traits
- Importing agents
- Batching results
- Concept induction
- Run a job in the background
- Azure example
Notebook Examples
- Data labeling with LLMs, validating with humans
- Data labeling agents
- Data labeling
- EDSL with Offline Inference Services
- Data cleaning
- Simulate a feedback survey
- Analyzing customer service calls
- Using EDSL with a reasoning model
- Analyzing a transcript
- Analyzing course evaluations
- Comparing model performance
- Simulate a qualitative interview
- NPS survey in EDSL
- Launch an interview
- Cognitive testing & creating new methods
- Simulating randomness
- Testing model training data
- Evaluating job posts
- Cognitive testing & LLM biases
- Agent fatigue
- Exploring real world survey contexts
- Exploring free text responses
- Creating a digital twin
- Stylized content
- Google Form -> EDSL
- Using EDSL for AI polling
- Working with CES data in EDSL
Introduction
Whitepaper
In progress!
Send us a message at [email protected] if you are interested in contributing!
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