whereismyai
Kiln
Kiln is an AI development platform for building, evaluating, and optimizing AI systems.
Kiln is an AI development workbench designed to help teams build, evaluate, and optimize AI systems. The platform provides tools for evaluation, retrieval-augmented generation, agents, synthetic data generation, fine-tuning, and prompt optimization. Users can index and retrieve data, compose tools and sub-agents, translate intent into evaluations, and auto-tune prompts. Datasets are versioned directly in git repositories, and the system supports collaboration across the entire team. It operates via a desktop app and an open-source MIT-licensed Python library, supporting both cloud and local models.
Kiln at a glance
- Best for: Software engineer
- Runs on: Web, macOS, Windows, Linux, API, open source
- Pricing: Free for individuals; Team plan available; Enterprise tier with custom pricing
- Released: March 2025
- Category: AI coding tool
- Website: kiln.tech
Key features
- Run experiments through conversation
- Auto-tune prompts to evals
- Generate, filter, and label synthetic data
- Distill into smaller models
- Score every change across axes
- Version datasets in your repo
- Deploy using Python library
Use it for
- Optimize AI prompts and agent designs
- Generate evaluation datasets and LLM judges
- Fine-tune models and distill into smaller ones
- Track quality across model upgrades and prompt changes
Alternatives to Kiln
- AI SDK — Switch providers easily and stream real-time responses without custom parsing.
- Marmot — Consolidates multiple AI and data provider interfaces into one CLI.
- Genkit — Provides unified APIs and local developer tools for AI application workflows.
- CodeSight — Reduces AI token usage significantly and maps projects instantly.
- SwanLab — Tracks training metrics and system performance with minimal code integration.
- ARTEX — Runs autonomous multi-agent penetration testing with a dual-graph architecture.
- Golem — Provides type-safe agent abstractions and zero-dependency Go implementation.
- Marvin — Provides simple interfaces, smart defaults, and structured data extraction.
- Crit — It keeps human feedback localized and precise for AI agent code iterations.
- Argilla — Provides programmatic tools for continuous data evaluation and human-in-the-loop feedback.
- Ax — Develop and improve AI features with consistent, type-safe code across six languages.
- Tura — Reduces token usage and LLM turns by over 80 percent while improving performance.
All Kiln alternatives