Liquid d1Liquid AI
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Related Products
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About
BrainGrid is an AI-powered software planning and requirements platform that helps developers turn rough ideas and high-level thoughts into engineering-ready specifications, structured tasks, and precise prompts so AI coding agents (such as Cursor, Claude Code, Replit, and others) can build reliable software instead of fragile prototypes. It starts by deeply analyzing your existing codebase, including architecture, data models, and dependencies, and then works interactively with you to clarify scope, ask the right questions, and refine concept descriptions into detailed, code-aware requirements. BrainGrid breaks these requirements down into atomic, verifiable tasks with context, goals, dependencies, and acceptance criteria, generating prompts designed to keep AI coding tools on track and dramatically increase the probability of accurate, first-time execution. It also supports automatic task generation, continual improvement of specs, and integration with multiple AI coding workflows.
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About
d1 is Liquid AI’s first decision model, built to answer structured questions about a situation with probabilities rather than generating text. It takes unstructured data such as text, images, or both, along with one or more questions, processes them in a single forward pass, and returns probabilities without generating output tokens. d1 supports three question types: noul for yes-or-no decisions, choice for selecting among labels with a probability for each option, and score for placing an input on an ordered scale using probability-weighted levels. Multiple questions can be evaluated against the same state in one request, making it useful for real-time decision workflows. Liquid AI demonstrates d1 across applications such as filtering support tickets, browsing code repositories, organizing documents into smart folders, operating websites, compacting agent context, inspecting industrial parts, and playing games from screenshots.
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Audience
Software developers and engineering teams who want an AI-driven planning platform that turns rough concepts into detailed, AI-ready specs and tasks so coding agents can build dependable, production-grade software
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Audience
Developers requiring a tool to classify, route, score, inspect, and automate real-time decisions across text and image inputs
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
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API
Offers API
Supported
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API
Offers API
Supported
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
$10 per month
Free Version
Supported
Free Trial
Supported
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Pricing
Free
Free Version
Supported
Free Trial
Supported
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Reviews/
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Reviews/
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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Training
Documentation
Supported
Webinars
Supported
Live Online
Not Supported
In Person
Not Supported
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Company InformationBrainGrid
United States
www.braingrid.ai/
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Company InformationLiquid AI
Founded: 2023
United States
www.liquid.ai/blog/d1-decision-model
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Alternatives |
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Categories |
Categories |
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Integrations
Claude Code
Supported
Claude Opus 5.5
Not Supported
Codex CLI
Supported
Cursor
Supported
Devin Desktop
Supported
GPT-6.1 Sol
Not Supported
GitHub
Supported
Hugging Face
Not Supported
Lovable
Supported
Model Context Protocol (MCP)
Supported
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Integrations
Claude Code
Not Supported
Claude Opus 5.5
Supported
Codex CLI
Not Supported
Cursor
Not Supported
Devin Desktop
Not Supported
GPT-6.1 Sol
Supported
GitHub
Not Supported
Hugging Face
Supported
Lovable
Not Supported
Model Context Protocol (MCP)
Not Supported
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