Muse Spark 1.1
Muse Spark 1.1 is a multimodal reasoning model from Meta Superintelligence Labs built for agentic tasks, coding, computer use, tool use, and multimodal understanding. The model improves on the original Muse Spark with stronger performance in planning, orchestration, long-context work, coding workflows, and external app interactions. Muse Spark 1.1 can manage a 1 million token context window, remember earlier actions, retrieve important information, compact context, and delegate tasks across parallel subagents. It is designed to operate across tools, MCP servers, custom skills, browsers, native apps, scripts, images, video, PDFs, and audio-based workflows. Developers can access Muse Spark 1.1 through the new Meta Model API public preview, while users can try it in Thinking mode in the Meta AI app and on meta.ai.
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SparkBuilt
SparkBuilt helps founders escape blank canvas paralysis. It automates the first two weeks of dev so you can turn ideas into deployable web apps in few minutes.
It generates full stack code (React, Vite, Tailwind, Convex, Clerk), AI pitch slides, market analysis, and a ready tech stack you can export to GitHub. Perfect for workers validating ideas, founders pitching fast, hackathon teams, and students.
Stop stitching together fragmented tools. Most founders burn runway paying for separate UI builders, deck generators, and research tools before they even launch. SparkBuilt is the first Unified Venture Engine that builds your Product (Full-Stack MVP), Narrative (Investor Deck), and Strategy (Market Research) simultaneously from a single shared context.
True Ownership, No Lock-In. We don't hold your code hostage. Unlike "walled garden" builders, SparkBuilt lets you Export to GitHub or Deploy to your own Vercel account instantly. You own the code, the keys, and the IP from Day 1.
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Muse Spark 1.2
Muse Spark 1.2 is Meta’s coding-focused model update designed to power Muse Code and improve software engineering workflows. The model is built for code generation, complex debugging, codebase understanding, long-horizon development tasks, and end-to-end developer workflows. Muse Spark 1.2 was co-trained with Muse Code to improve performance inside the terminal coding agent environment. It supports planning, goal conditioning, context compaction, subagent coordination, and iterative coding workflows across large repositories. The model was trained with expanded coding compute, diverse development environments, self-improvement loops, and long-running engineering tasks. Built for AI developers and software teams, Muse Spark 1.2 helps agents plan, write, validate, debug, and optimize code with greater autonomy.
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WebSparks
WebSparks is an AI-powered platform that enables users to transform ideas into production-ready applications swiftly and efficiently. By interpreting text descriptions, images, and sketches, it generates complete full-stack applications featuring responsive frontends, robust backends, and optimized databases. With real-time previews and one-click deployment, WebSparks streamlines the development process, making it accessible to developers, designers, and non-coders alike. WebSparks is a full-stack AI software engineer.
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