Oppo introduced a “deep execution” feature for its smart assistant Breeno. This feature allows users to generate professional reports by simply inputting a single sentence.
The deep execution feature is compatible with Oppo’s Find X8 series, Find N5 series, and OnePlus 13 series, provided they run ColorOS 15.0 or higher. Users must update Breeno to version 11.8.6 and enable system-level permissions to utilize the feature.
The assistant uses Oppo’s in-house AndesGPT and ColorOS 15 to perform tasks such as breaking down research and creating reports in PDF and web formats. Users can also view the AI’s research logic and verify information sources during the process.
The evolution from passive assistants to autonomous agents
OPPO’s Xiaobu with “deep execution” capabilities represents a significant shift in how AI assistants function, moving from simple query responses to complex task completion.
This transition reflects a broader industry evolution where the distinction between AI assistants (which support users with specific tasks) and AI agents (which can make decisions and execute multi-step processes autonomously) is becoming increasingly important in product development.
By 2025, the AI assistant market has already seen substantial development from basic chatbots to sophisticated systems, with companies like OpenAI, Microsoft, Google, and Anthropic creating assistants that specialize in different capabilities from content generation to coding support.
The development of deep research capabilities in AI systems has been a particular focus area, with technologies designed to conduct comprehensive research and generate structured reports without constant human guidance. This is the functionality OPPO is now bringing to mobile devices.
This marks a shift in AI utility from primarily content generation and emotional companionship toward practical task execution, addressing more complex user needs with minimal input.
Mobile AI capabilities face unique implementation challenges
OPPO’s claim of being the “first mobile assistant product” with deep execution capabilities highlights the technical challenges of implementing sophisticated AI features on smartphones.
Deep execution AI typically requires significant computational resources, with comparable systems like OpenAI’s Deep Research and Google’s Gemini traditionally requiring cloud infrastructure rather than running entirely on mobile hardware.
The technical approach of combining ColorOS 15 and the AndesGPT large model suggests OPPO is likely using a hybrid architecture that balances on-device processing with cloud capabilities, similar to how other industry leaders manage the trade-offs between performance, privacy, and battery consumption.
Industry data shows that by 2025, AI assistants have become critical components of business operations across sectors, with organizations strategically selecting assistants based on specific goals and existing technology infrastructure.
OPPO’s implementation represents the ongoing industry effort to bring enterprise-grade AI capabilities to consumer devices, addressing the 44% of businesses that viewed AI as critical for future success but struggled with implementation according to earlier surveys.
The shift from decision support to autonomous execution
OPPO’s framing of Xiaobu as accelerating “the transition of smartphones from decision support to deep execution” reflects a broader industry trend toward AI systems that complete tasks rather than merely providing information.
This evolution aligns with projections that AI will automate 60-70% of tasks across various sectors by 2025-2026, particularly in areas requiring information gathering and synthesis.
The development of systems capable of breaking down research tasks, showing their thinking process, and citing sources directly addresses longstanding challenges in AI transparency and trustworthiness that have been barriers to adoption.
The emphasis on professional report generation matches the projected economic value of AI, which is expected to add $4.4 trillion annually to the global economy through productivity enhancements in exactly these types of knowledge work tasks.
This transition represents a significant evolution in how consumers interact with technology, moving from tools that require substantial human direction to ones that can understand intent and independently execute complex multi-step processes.
Source: Oppo’s Breeno AI now offers in-depth execution
