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Smart voice assistants still feel brittle when you ask them to do more than a weather check. That gap is painful: users expect assistants to read context, access personal apps, and complete tasks — not just answer canned queries. Apple develops ChatGPT-like app to bridge that gap by giving engineers a fast, interactive way to iterate on a far more capable Siri. Inside Apple, the new internal app speeds testing of conversational flows, personal-data search and in-app actions so the company can refine responses, guard privacy, and avoid launching features that break or leak data.
What Apple say
Apple has created an internal, ChatGPT-style iPhone app — reportedly code-named Veritas — that employees use to test an overhauled Siri built on large language models. The tool is not intended for public release; it’s a private testbed that lets engineers try conversational workflows, pull information from personal content (mail, music, photos) and simulate richer in-app tasks.
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Why Apple would build an internal “ChatGPT-like” app (and why that matters)
Apple’s public statements about Apple Intelligence and its limited ChatGPT integration explained the “what” — giving Siri access to external LLM help when users opt in. But an internal app does the “how”: it provides a controlled environment for engineers to measure quality, safety, latency, and privacy trade-offs before rolling anything to billions of users.
Key engineering benefits:
Rapid iteration: a chat interface lets testers probe edge cases and refine prompts, response formatting, and fallback logic.
Context fusion testing: engineers can experiment with merging on-device signals (calendar, photos) and server models to produce coherent, safe replies.
End-to-end flows: Veritas can simulate multi-step tasks — e.g., “find last week’s invoice and email it with a note” — to validate permissions, auditory prompts, and undo/confirmation flows.
What this reveals about Apple’s Siri strategy
1) Apple is accelerating from piecemeal features to system-level LLM integration. Apple Intelligence and earlier integrations (including ChatGPT access in iOS releases) were first steps. An internal GPT-style app shows Apple is now building the plumbing for an assistant that can carry multi-turn conversations and take actions across apps.
2) Internal testing indicates caution, not secrecy. Apple’s choice to keep the app internal suggests the company wants to catch failure modes before public exposure — latency, hallucinations, privacy lapses, and race conditions in permission flows. That’s prudent but also slower than rivals who expose features sooner and iterate publicly.
3) This is a privacy and UX stress test. The most controversial capability — having an assistant read your mail, photos or messages to act on your behalf — combines convenience and risk. The internal app lets Apple measure how often such access is needed, what defaults make sense, and how to present consent prompts that users actually understand.
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A mini case study: How an internal app speeds a new Siri feature from idea to rollout
Imagine Apple wants Siri to “edit the last photo and post it to a thread with a short caption.” In a pre-LLM world, engineers would wire a sequence of app intents, tweak wording, and manually test permutations. With a ChatGPT-style internal app they can:
Prototype in chat: Tell the system in plain English and observe the interpreted intent.
Simulate user data: Use synthetic or consented test data to confirm the assistant can locate the right photo and apply edits.
Measure failure modes: Force edge cases (offline device, restricted app permissions) and record fallback quality.
Tune messaging: Optimize confirmation/consent prompts so users clearly understand what Siri will do.
That pipeline compresses weeks of integration work into days of iteration — but crucially, only within Apple’s controlled test environment.
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The privacy and policy implications
Apple’s brand hinges on privacy. An assistant that reads your messages or scans your photos raises three categories of questions:
Where do the LLM computations run? On-device or in the cloud determines exposure. Apple has pushed on-device models, but complex LLMs often rely on servers. Clear choices and user disclosures matter.
What data leaves the device? Even transient metadata or logs can be sensitive. Apple will need strict minimization and strong retention policies.
Regulatory scrutiny: As assistants gain capabilities to act across services, regulators may require transparent auditing and opt-in defaults.
Apple’s internal test app gives them a chance to harden these policies before the public sees the feature — but it doesn’t remove the need for transparent explanations to users when features ship.
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Competitive and ecosystem consequences
Faster parity with rivals: Apple’s internal push narrows the capability gap with assistants from Google, OpenAI and Amazon, but Apple still prioritizes careful rollout.
Developer opportunities: If Apple releases APIs for third-party apps to declare safe actions and consent flows, this could unlock powerful integrations (e.g., banking apps approving transactions via a verified assistant flow).
App Store and antitrust angles: A built-in, LLM-powering Siri that favors Apple services could attract regulatory attention; Apple must balance integration with fair access for third-party providers.
(These are analyst observations based on reported testing work and Apple’s prior public statements, not leaked roadmap specifics.)
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What users should expect next
Short term (months): More experiments in iOS betas — expanded ChatGPT access inside the OS, better multi-turn chat, and in-app suggestion prompts.
Medium term (late 2025–2026): A measured Siri overhaul that can hold longer conversations, act on personal content after explicit consent, and complete multi-step tasks. Bloomberg’s reporting suggests Apple aims for a staged rollout rather than a single big bang.
What you can do now: Keep iOS updated, review privacy settings for Siri and app permissions, and watch Apple’s beta notes for new assistant experiments.
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Key Takeaways
Apple develops ChatGPT-like app (code name reported as Veritas) as an internal testbed for a next-gen Siri.
The app helps engineers test multi-turn conversations, personal-data access (mail, photos), and in-app task automation.
Apple’s public Apple Intelligence moves (including official ChatGPT integration) are only one part; internal tools speed the harder work of safe, usable integration.
Privacy architecture — on-device vs cloud, consent flows, and data minimization — will determine user trust and regulatory scrutiny.
Expect staged rollouts: experiments in betas first, broader availability only after rigorous testing.
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FAQs (People Also Ask)
Q: Is Apple releasing this ChatGPT-like app to the public?
A: No — reports indicate it’s an internal testing tool for engineers, not a consumer app.
Q: Will Siri use ChatGPT or Apple’s own model?
A: Apple has integrated ChatGPT access into Apple Intelligence experiences, and it’s likely a mix of on-device models and third-party/cloud LLMs depending on the task. Apple’s official materials show both approaches.
Q: Will my messages or photos be read by Siri?
A: Any assistant action that requires personal data should ask permission. The internal testing reported is precisely about defining safe permission flows — when features ship, expect opt-ins and clearer consent UI.
Q: When will the upgraded Siri arrive?
A: Apple hasn’t given a public release date. Industry reporting suggests staged rollouts in the coming months into 2026 as testing completes.
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Conclusion
Bloomberg’s report that Apple develops ChatGPT-like app to test next-gen Siri is not just another AI headline. It’s a peek into the engineering reality: Apple is building a sandbox where convenience, correctness and privacy collide. That approach should produce a more polished assistant — at the cost of a slower public pace than some rivals. If you care about assistants that can do real work with your personal data without surprising you, Apple’s cautious method may be the right trade-off — provided the company continues to be transparent about where and how AI runs.
Want to track Siri’s evolution and get clear guides on new privacy controls when they appear? Subscribe to SmashingApps for hands-on breakdowns and practical how-tos.
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Sources (official / original)
Mark Gurman, Bloomberg — reporting on Apple’s internal ChatGPT-style testing app. Bloomberg
Apple Newsroom — Apple Intelligence and official statements about integrating ChatGPT access into iOS experiences. Apple
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