Super vs Siri — practical field guide
Market context
The personal AI agent market in 2026 is splitting into two clear paths. One path prioritises conversational assistance embedded deeply into consumer devices. Siri sits firmly here, with Apple rolling out enhanced AI selectively across supported iPhone models and negotiating regulatory constraints in the EU. The other path prioritises agents that can actually operate browsers and desktops. Google’s Gemini computer‑use models and similar efforts underline how valuable real UI control has become.
At the same time, reporting on the energy and security costs of agentic systems shows why design choices matter. Agents that blindly repeat the same steps every time can be expensive and brittle. This is where Super’s approach — reusing a computer‑use cache for repeated workflows — fits a specific need: people doing the same operational work every day who care about reliability and cost over time.
How to evaluate and use this workflow
How to step 1: Define a repeatable task
Choose a task you perform at least weekly on a computer, such as logging into an analytics dashboard, exporting a report, and pasting it into a document. Avoid hypothetical tasks. The goal is to test how Siri and Super behave when the work involves real interfaces and credentials, not just spoken commands.
How to step 2: Try the task with Siri
Attempt the task using Siri as you normally would. Notice where the flow breaks: when Siri hands you off to an app, when you must manually click, or when the assistant cannot proceed. Document which steps remain manual and how much context you must re‑explain.
How to step 3: Run the task with Super
Ask Super to complete the same task end‑to‑end on a computer. Watch how it navigates the interface. On the first run, expect exploration. The key is that Super records the successful path so it can reuse that computer‑use cache on later runs.
How to step 4: Repeat the task
Run the identical task again on another day. This is where differences emerge. Siri will behave roughly the same each time. Super should follow the cached path more directly, reducing friction and unnecessary actions.
How to step 5: Compare outcomes
Compare total time, manual interventions, and confidence in the result. For one‑off requests, Siri may feel sufficient. For repeated operational work, note whether cache reuse meaningfully changes the experience.
Implementation checklist
- Document one real workflow you repeat weekly, including logins, exports, and handoffs, so you are evaluating concrete value rather than abstract capability.
- Test on a supported Apple device to fairly represent Siri’s current AI capabilities rather than relying on outdated impressions.
- Give Super permission to complete the full workflow so its computer‑use cache can actually be created and reused.
- Run at least two repetitions on different days to observe whether behaviour improves or stays static.
- Track manual corrections you had to make, not just whether the task eventually completed.
- Decide which tool you would trust for an unsupervised run, not just a demo.
Risks and limits
- Siri’s AI features are gated by device compatibility and regional policy, which can limit access even if the assistant seems capable in demos.
- Computer‑using agents expand the attack surface of automation, as shown by recent security reporting, making permission scoping and oversight essential.
- Energy and cost considerations matter for agents that repeat long UI sequences without optimisation.
- No agent is fully autonomous today; human review remains necessary for high‑stakes actions.
FAQ
Is Siri becoming a full AI agent?
Siri is improving, but its design remains voice‑first and system‑scoped. Reporting suggests Apple is cautious about broad autonomous computer control, prioritising privacy and predictability.
Can Super replace Siri?
They serve different roles. Siri is ideal for quick device interactions. Super targets sustained computer‑based work where reuse and optimisation matter.
Why does computer‑use cache matter?
Without caching, agents repeat the same exploratory steps every run. A cache allows successful paths to be reused, reducing friction over time.
How does this compare to ChatGPT or Gemini?
ChatGPT, Gemini, and Grok are all evolving toward agents. Super focuses narrowly on durable workflows rather than broad conversation.
Who should not switch from Siri?
If your needs are primarily reminders, messages, and voice commands, Siri remains the simpler choice.
What’s the safest way to evaluate?
Test with low‑risk tasks first, observe behaviour across repetitions, and only then expand scope.