Tec-Do Technology Releases the Industry's First Pro-Agent Navos Pro, Defining Results-Oriented AI for Work

On October 23, the 2026 TGC Tech Growth Conference, themed "AI is Profitable," was held in Guangzhou.

Targeting the trillion-dollar blue ocean market of AI for Work, Tec-Do, a globally leading AI marketing technology company, officially unveiled the industry's first Pro Agent — Navos Pro — at the conference. Navos Pro builds its product core around three key attributes — Professional, Proactive, and Profitable — making Result-Driven AI for Work a reality and continuing to drive AI to become the core engine of global growth and productivity transformation for enterprises.

【Opening keynote by Dr. Kevin Knight】

The conference opened with a keynote speech by Dr. Kevin Knight, an international AI authority. The speakers included representatives from global AI technology companies such as OpenAI, Google, Alibaba, ByteDance, and Tencent, who coalesced around a core consensus: a new industrial cycle of "technology creates growth" has begun, and AI's commercial value must be validated by real business metrics.

In his opening keynote, "From Language to Action: The Next Leap in AI," Dr. Kevin Knight offered a judgment combining academic and industry perspectives: AI for Work will become one of the most important directions for AI applications.

【Keynote speech by Li Shuhao, Founder and CEO of Tec-Do】

Next, in his keynote sharing, Li Shuhao, Founder and CEO of Tec-Do, first anchored AI's business opportunities in the three major expense categories that enterprises invest in long-term and continuously — marketing and sales, coding and product development, and management — and correspondingly proposed AI for Growth, AI for Innovation, and AI for Administration, which are expected to form the vast trillion-dollar market of AI for Work. In this three-expense framework of AI for Work, AI products such as Claude Code focus on AI for Innovation, while AI products such as WorkBuddy focus on collaborative office work; Tec-Do's Navos Pro, meanwhile, will be a top player in AI for Growth.

Li Shuhao further made it clear: "We only do result-oriented AI for Work." As a next-generation Agent, Navos Pro possesses the three major capability systems of Professional, Proactive, and Profitable, advancing agent implementation in scenarios such as cross-border e-commerce, foreign trade, marketing, and business analysis:

1. Professional | Professional understanding of the business: Simply input a brand's official website to parse key information and build a private brand knowledge base; accumulate business memory and output content that fits the brand's commercial demands, solving the pain point that general-purpose AI does not understand the brand business.

2. Proactive | Proactively discovering opportunities: Break free from the passive instruction mode, monitor multi-dimensional data 24/7, proactively uncover growth opportunities and generate strategies; AI outputs recommendations while humans hold decision-making authority.

3. Profitable | Achieving business growth: With profitability as the core yardstick, strategies, creative, and ad delivery are anchored to metrics such as GMV and ROI, discarding ineffective AI output and ensuring results are measurable and profitable.

【Official release of Pro Agent Navos】

Behind the three Pro systems of Professional, Proactive, and Profitable lies a three-layer capability supply:

The Professional capability system integrates industry know-how and proprietary data to form four major capabilities: database, Agent, workflow, and interaction. It provides trend, competitor, product selection, creative, and ad delivery insights through public-domain data, domain benchmarks, and vertical scenarios; continuously tunes through 70+ MCPs, 100+ Skills, and user feedback; standardizes and automates processes such as product selection, creative production, and ad diagnostics through Skills, Templates, and digital employees; and safeguards interaction through intent recognition, result feedback, and traceable processes.

The Proactive capability system covers 1 billion+ sensory data points and 200 million+ sensing frequencies per day, supports 10 million+ ad diagnostics, 1 million+ action recommendations, and 100,000+ recommendation adoptions, proactively monitors accounts, products, and creative, outputs recommendations on budget, bidding, selling points, and creative iteration, and links to Agent or manual execution.

The Profitable capability system advances through "batch creation, scale testing — scale production, eliminating the false and keeping the true — strategy iteration, amplifying returns," forming a closed loop of result feedback, strategy optimization, and continuous evolution through the Learning Loop. On the technical foundation, Navos RSI uses Agentic RL to drive self-iteration of the Agent Harness, covering trajectory sampling, reward design, policy updates, version write-back, and validation.

The three-layer architecture consists of the Agent Harness, 32B/27B/5B professional models, and a marketing knowledge base, benchmark metrics library, methodology assets, multi-source heterogeneous data, and a professional sample library, supporting replication across multiple countries, channels, industries, and scenarios. Relying on the above three Pro systems, Navos now fully covers the overseas marketing chain and also offers a dual-version matrix of Navos Lite and Navos Pro.

【Technical architecture of Pro Agent Navos】

Li Shuhao stated that the essence of Agent evolution is the transfer of the right to initiate work: in the Chatbot stage, AI responds passively; in the Copilot stage, AI assists execution; and in the Pro-Agent stage, AI begins to proactively discover business opportunities and deliver real growth — Navos Pro will be the representative of this stage.

He further reviewed the more macro industrial iteration logic above the Agent evolution storyline: in 2012, the mobile internet era opened a trillion-dollar market where To C traffic was king; in 2018, the SaaS era opened a trillion-dollar market dominated by To B; and in the AI era that began in 2024, the core logic is shifting from "capability supply" to "value validation."

Tec-Do has already completed this "value validation" ahead of others through marketing practices serving hundreds of thousands of overseas brands, and has begun its ecosystem layout: in July 2026, it became one of the first global technology partners of ChatGPT Ads, helping brands increase ROI to 2.5 times; in August, it reached a partnership with Tencent WorkBuddy to bring model capabilities into overseas marketing and ad delivery scenarios.

Li Shuhao pointed out that AI for Growth is only the first step for Tec-Do in validating how AI reshapes enterprise productivity. In the future, Tec-Do will continue to migrate its own AI capabilities to AI for Innovation and AI for Administration, thereby driving the systematic reshaping of enterprise AI productivity.

Lorry Destainville, Head of Business Partnerships at OpenAI, shared a forward look at ChatGPT commercialization: ChatGPT reaches 1.2 billion users every week, and OpenAI is simultaneously exploring Sponsored Agents and Visual Ads. He especially thanked Tec-Do for working with OpenAI to provide brand owners with actionable, measurable AI growth tools.

【Conference host: Zhang Yuxue, VP of Brand PR at Tec-Do】

【On-site roundtables】

Subsequently, hosted by Zhang Yuxue, VP of Brand PR at Tec-Do, three heavyweight roundtable forums took the stage. Zhou Jie of General Atlantic, Li Di, founder of Nextie, Ye Jun, founder of Shenyanxu, and Xu Dong of Alibaba Qwen held a dialogue on "How emerging AI technologies will reshape the future of business"; Liu Buchi of Google, Zhao Liping of CICC, Weng Chengbo of Maiya Media, and Josh Ye of Hero Esports discussed "The major overseas expansion trends in the AI era"; and Terry Wang of BytePlus, Deng Zhaojun of Alibaba Qwen, and Yang Tong of Tencent WorkBuddy discussed "Ecosystem practices in the commercialization of AI applications."

【Nie Ailing, Founding Partner of Tec-Do, introduces Tec-Do's investment portfolio】

At the end of the conference, Nie Ailing, Founding Partner of Tec-Do and head of ecosystem incubation and strategic investment, announced the launch of the Pro-Agent Global Challenge, a global competition soliciting cutting-edge AI projects from AI entrepreneurs worldwide. The competition focuses on tracks such as Agent architecture evolution, AI marketing, AI content entry points, and computing power infrastructure, and will open up capital, industry resources, and global growth channels to empower projects.

With this, TGC 2026 has pieced together the full picture of technology creating growth. AI is Profitable is accelerating into reality, and the trillion-dollar blue ocean of AI for Work has only just set sail.

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