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Nov 10, 2026
Which Firefly MAX tools can you use today? Only four are GA; Graph is public beta, Builder is waitlisted
Adobe's November 10 Firefly announcement mixes generally available tools, betas, a preview and a private-beta waitlist. Per Adobe, Edit Text, Retouch, Relight and Quick Actions are generally available. Firefly Graph, a node-based workflow builder, is a public beta, and Firefly AI Assistant is labeled beta. Firefly Builder is private beta via waitlist, and always-on agents are a preview. This guide matches common creator tasks to the right tool and access state, explains how Graph differs from the conversational Assistant, and covers how Graph credits work. It is based on Adobe's release and product page, not hands-on testing.
Nov 10, 2026
Adobe and Google roadmap: PDF editing in Workspace, Gemini connectors, and Photoshop AI experiments
Adobe and Google announced an expanded partnership at Adobe MAX 2026, outlining three tiers of integration: Google models that Adobe says customers can already use, announced future pathways for Acrobat in Google Workspace and Gemini, and exploratory work with DeepMind on a Photoshop image model that could enable near-real-time edits. The roadmap separates what Adobe describes as available from what is planned or unconfirmed, but leaves rollout dates and included-plan details unspecified.
Nov 10, 2026
Gemini 4 Carbon opens paid API and Ultra access, introductory pricing ends November 30
Google has expanded Gemini 4 Carbon access beyond its initial cybersecurity defender program to paid API tiers and Google AI Ultra subscriptions. Developers can now use the frontier model through Google AI Studio and Gemini for business at an introductory rate of $2 per million input tokens and $10 per million output tokens—identical to Gemini 4 Argon pricing—until November 30, 2026, after which Carbon's price doubles to $4/$20 per million tokens. The model is positioned for complex multi-step coding, scientific reasoning, and cybersecurity workflows where deeper exploration justifies higher token consumption, while Argon remains recommended for most software engineering and knowledge work.