Anthropic is building Orbit, a proactive assistant that surfaces insights before you ask for them. That single sentence tells you more about where AI is heading than a year's worth of model benchmarks.
What Orbit Actually Is
Orbit is a pre-release project from Anthropic — the company behind Claude — designed to monitor context and surface relevant information without waiting for a prompt. Details are still limited, but the intent is explicit: move AI assistants from reactive to initiative-taking.
Today's Claude works like this: you ask, it answers. Orbit flips that. It watches what's happening in your environment and tells you something worth knowing before you think to check.
The analogy that lands: the difference between a search engine and a financial advisor. The search engine waits for your query. The advisor calls when the market moves. Most AI tools shipped in the last two years are sophisticated search engines. Orbit is trying to be the advisor.
The Hard Limit of Reactive AI
Reactive AI assistants — Claude, ChatGPT, Gemini — are only as useful as the questions you know to ask. That ceiling is lower than it looks.
For straightforward tasks — writing, summarizing, coding — prompting on demand works. But for business intelligence, competitive tracking, or anything where timing matters, reactive tools have a structural gap. The insight sits idle until someone opens the interface and asks.
In client workflows we run today, this limitation shows up concretely. A Make.com scenario pulls competitor pricing through Claude. The output is accurate. But if no one triggers the workflow that morning — or if the client doesn't check the Slack digest — the signal is invisible. The competitor dropped prices at 8am. The client found out at 2pm.
Proactive AI doesn't wait for a check-in. It routes the signal when the signal exists.
How This Changes Workflow Architecture
Most automation setups — including the ones we build on n8n and Make.com — are trigger-driven. An event fires, a workflow runs, a message sends. Reactive by design. The system responds to what already happened.
Orbit represents a different layer: continuous monitoring with AI-driven judgment about what's worth surfacing. The trigger isn't an event you pre-defined. The trigger is the AI deciding something crossed a threshold.
That architecture doesn't exist cleanly in today's workflow tools. n8n and Make.com are excellent at executing logic you specify in advance. Neither has a native judgment layer that watches a stream and decides, on its own, that something warrants attention.
Today's pattern for most clients:
- Client asks → Claude pulls data → Claude answers
- Schedule fires → workflow runs → Slack digest posts
The Orbit pattern:
- System monitors continuously → AI detects meaningful signal → AI briefs client without being asked
We're building toward that second pattern in smaller ways — daily intelligence briefings for Get Indiana, automated competitive sweeps that post to #general when something changes. These are proactive in the scheduling sense. Orbit is proactive in the judgment sense.
What Clients Should Build Right Now
Orbit isn't shipping today. But the infrastructure that makes proactive AI useful is the same infrastructure that makes good dashboards and clean reporting useful — and that work should be happening now, not when the tool arrives.
Data access is the foundation. A proactive assistant is only as useful as its visibility. If client data lives across a disconnected CRM, a spreadsheet, and a platform that doesn't have an API, no AI can surface meaningful patterns from it. The time to build connected, clean data pipelines is before you need them.
Signal quality beats volume. Proactive AI done wrong becomes notification spam. An assistant that flags everything flags nothing useful. The value proposition is precision — fewer alerts, higher relevance. When evaluating proactive AI tools, the right question isn't "what can it surface?" It's "how good is its judgment about what not to surface?"
Human verification stays in the loop. We build review checkpoints into every AI workflow we ship. That requirement gets more important with proactive systems, not less. An assistant that acts without confirmation can move fast in the wrong direction. Understanding what signals your AI is actually reading — and validating that it's reading them correctly — is due diligence, not friction.
Start with the briefing pattern. The closest analog to Orbit that clients can implement today is a structured daily briefing: an automated digest that pulls from your live data sources and posts a concise summary every morning before anyone opens their inbox. No prompting required. We run this for several clients already. The pattern works, and it builds the operational reflex — "AI briefs me" — that proactive systems require.
The Window Is Open Now
Right now, "AI for agencies" means chat interfaces and triggered workflows. What Orbit represents — AI that decides what matters and tells you — is a different category. It's not mainstream yet, which means positioning is still available.
Clients who wait for proactive AI to be obvious before investing in the underlying data infrastructure will start behind. The same Supabase tables, the same structured CRM feeds, the same consistent tagging conventions that enable good analytics today are exactly what proactive AI will read from tomorrow.
We're watching Orbit closely because it confirms a direction we're already building toward. The stack — n8n, Make.com, Claude, Supabase — is close. The missing piece is a judgment layer that decides what's worth surfacing, and that's what Orbit is designed to be.
When it ships, agencies with clean data infrastructure will move fast. The ones that didn't build that foundation will spend six months catching up before they can even start configuring the actual tool.
Orbit is pre-release, the public details are still thin, and Anthropic hasn't committed to a timeline. But the direction is clear. AI that waits to be asked is a useful tool. AI that knows when to speak up is infrastructure. The agencies that treat it as such — and start building toward it now — are the ones who'll be ready when the switch flips.
