Claude vs Alhena AI
Side-by-side trajectory, velocity, and editorial themes.
Sonnet 5 and cross-device Cowork push Claude from chat toward always-on agent
Claude's changelog centers on two moves: the Sonnet 5 launch, its most agentic Sonnet model, and Cowork going cross-device with remotely-run sessions that persist across web, desktop, and mobile. Around them is a thick layer of enterprise administration (model entitlements, custom admin roles, Trusted Devices for remote Code control) and connector depth, most notably write access for the Microsoft 365 connector. Consumer touches like a monthly recap and break reminders round out the window.
Claude is moving from a chat product toward an always-on work surface: sessions that keep running with no device online, scheduled tasks, and agents that can act inside Microsoft 365 and Slack rather than just read. The parallel investment in enterprise controls signals a deliberate push to make that agentic surface safe to deploy at organization scale.
Expect Cowork's cross-device rollout to widen past the Max plan and more connectors to gain write tools, extending Claude's reach from answering questions to taking actions across the tools teams already use.
Alhena pushes its commerce-native AI agents onto the storefront, at the point of purchase.
Alhena builds commerce-native AI for ecommerce — agents that connect to orders, products, policies, and cart data rather than just sitting in a support inbox. Its feed mixes genuine product releases with positioning content. The headline release embeds shopping agents directly into the storefront at decision moments; recent shipped features also include built-in revenue A/B testing (Experiments) and multi-agent workspaces (AI Profiles).
Alhena is moving from a support-desk framing toward owning the on-site conversion surface: agents embedded where shoppers decide, with the tooling (revenue experiments, per-brand profiles) to measure and scale their commercial impact. The marketing content reinforces a 'commerce-native beats helpdesk-native AI' argument that matches the product direction.
Expect deeper storefront-embedded agent surfaces and more revenue-attribution tooling around them, with continued positioning against inbox-only helpdesk AI.
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