Adaline
End-to-end prompt management platform covering iteration, evaluation, deployment, and monitoring.
Adaline is profiled here as a Prompt Management tool for engineering teams. Read about features, pricing, and how it compares to related options in the tools directory.
Description
Short Intro: Adaline is a proprietary AI agent platform founded in 2024 by Arsh Dilbagi (CEO, Princeton ORFE, ex-Bridgewater, ex-Apple, YC S21 alumni via Zage) and Akshay Gulati (CTO), headquartered in San Francisco. The platform frames prompt management as a complete operational lifecycle, covering iteration, evaluation, deployment, and monitoring in a single workspace rather than treating these as separate workflows. Production customers include McKinsey's Lilli generative AI platform and Discord, whose senior staff engineers have publicly cited Adaline for bridging technical and non-technical LLM development.
Key Capabilities:
Collaborative prompt editor with dynamic variables, playground history, and one-click rollback
300+ AI model support across providers in a unified workspace
LLM-as-judge, custom JavaScript, latency, and context recall evaluators for structured prompt testing
RAG context testing with real-time image and dynamic input evaluation
Version control with full change history and instant revert across prompt iterations
Deployment with custom rules and no code changes required
Real-time production observability covering usage, latency, cost, and agent health metrics
Dataset management built from logs, CSV uploads, and live production interactions
Alternative tools
- Google AI Studio
Free browser workspace for prototyping with Gemini models
- Basalt
Collaborative prompt management and deployment for AI teams
- Promptmetheus
Prompt engineering IDE for composing and testing LLM prompts
- BAML
A domain-specific language for typed LLM functions
- Langtail
Collaborative prompt playground with testing and deployment
- Lunary
Open-source prompt management and observability for LLM apps