As digital marketing enters a new phase marked by an explosion of content, more complex ad delivery, and fragmented data, traditional marketing teams are feeling pressure across their entire workflow. Growing demands for speed, scale, and expertise in areas such as market insight, creative planning, asset production, campaign optimization, and data analysis have produced an industry-wide dilemma: more stacked tools but no gains in efficiency.
Navos was created to address this structural problem. It’s not just an incremental upgrade of a single tool — it’s an intelligent AI advertising team made up of multiple specialized AI agents.

Definition of Navos: An AI Advertising Team
Navos, built by Tec-Do 2.0, is an around-the-clock, full-funnel intelligent marketing assistant composed of multiple collaborating agents, designed to develop refined and global go-to-market strategies for brands expanding overseas. Navos’s core positioning is an intelligent advertising team made up of multiple professional AI agents, each performing a specific role such as market insight, creative planning, creative production, ad delivery, data analysis, and asset management.
We aim to shape Navos into a professional AI advertising team rather than a collection of features because it offers three capabilities traditional tools lack:
- Professional division of labor: Each agent has clear functional boundaries and specialized skills, mirroring the structure of a real advertising department.
- Autonomous collaboration: Agents can understand task context, automatically orchestrate workflows, pass information, and work together to complete complex tasks.
- Continuous growth: The system learns brand preferences, campaign strategies, and creative styles through execution, building a privatized brand memory.
At its core, Navos is an AI workforce that empowers marketing teams. It was not created to replace us, but to extend our teams intelligently—taking on highly repetitive, large-scale, and continuously executed tasks so we can focus on higher-value work like strategic decision-making, creative direction, and brand building.
What Are Core Capabilities of Navos?
Navos’s multiple core Agents form a complete intelligent advertising department, covering the full process from market insight to asset management.
1. Market Insight
The Market Insight Agent acts as the team’s industry advisor, responsible for capturing market trends, industry signals, and competitor rhythms. It can automatically monitor multi-dimensional information sources such as social media hotspots, best-seller lists on e-commerce platforms, search engine keyword trends, and competitor advertising moves, and it uses natural language processing (NLP) and situational awareness algorithms to integrate these fragmented signals into structured insight reports.
The value of the Market Insight Agent lies in its ability to scan market changes 24/7 and automatically generate best-seller lists, content trend analyses, and audience insights. For example, it can detect a sudden spike in searches for a category over the past week, identify related user pain points and ways users express needs, and even analyze competitors’ creative strategies and placement actions in response to that trend. This continuous market-sensing capability keeps the marketing team consistently attuned to opportunities.
2. Campaign Planning
The Campaign Planning Agent serves as the team’s creative director and is the key role that converts insights into actionable plans. It receives trends and opportunity points provided by the Market Insight Agent and, combined with brand positioning, product characteristics, and target audiences, generates complete creative strategies and execution plans.
The output from the Campaign Planning Agent is not just simple creative ideas; it includes a full campaign plan with creative direction, core messaging architecture, script outlines, visual style recommendations, and placement strategy frameworks. It provides an executable list of material requirements, specifying how many versions of assets need to be produced, the differentiating focus for each version, and which channels they should be adapted for. This turns fleeting creative sparks into a systematic strategic framework.
3. Creative Generation
The Creative Generation Agent functions as the team’s visual designer, responsible for turning planning into multi-format advertising assets. Powered by in-house multimodal generation models, it offers end-to-end creation capabilities—text-to-image, image-to-image, text-to-video, image-to-video—and can rapidly produce large-scale creative content that matches brand tone.
The key advantages of the Creative Generation Agent are scale and iteration speed. It can generate dozens or even hundreds of variants based on the same creative direction, with subtle differences in visual style, copy emphasis, and composition, providing a rich pool of assets for later testing. At the same time, it can automatically generate creative formats adapted to different media platforms—from vertical short videos to horizontal banners, from static images to animated GIFs—ensuring creatives are presented in the best format across channels.
4. Campaign Launch and Monitoring
The Campaign Launch & Monitoring Agent is the team’s ad strategist, responsible for turning creative assets into actual ad placements and continuously optimizing campaign performance. By connecting via API to major ad platforms, it can build cross-media campaign structures, configure account, campaign, and ad group hierarchies according to strategy requirements, and handle asset optimization, budget allocation, and automated A/B testing.
The intelligence of the Campaign Launch & Monitoring Agent is shown in its ability to drive strategy adjustments with real-time feedback. Through a stream-processing engine that continuously monitors asset performance data and reinforcement learning algorithms that identify high-potential asset combinations, it dynamically adjusts bidding strategies and budget allocation ratios. When asset performance declines, it will recommend pulling new variants from the asset pool for replacement testing, enabling sustained peak performance and freeing teams from the efficiency limits of manual monitoring.
5. Data Analysis
The Data Analysis Agent is the team’s data analyst, responsible for turning massive amounts of ad data into actionable strategic recommendations. It doesn’t merely list metrics; it uses multidimensional analysis models to automatically perform data cleaning, construct metric systems, and conduct deep attribution analysis.
Core capabilities of the Data Analysis Agent include: trend analysis of asset performance, decomposition of audience conversion paths, evaluation of time-of-day effectiveness, and cross-channel ROI comparisons—delivering full-spectrum analysis that accurately identifies high-converting creative elements, core audience segments, and optimal placement times. More importantly, it has a built-in business-goal alignment module, so its outputs are not cold numbers but strategic recommendations, for example: “Recommend shifting 30% of budget toward Gen Z with ROI of 2.8,” or “This type of asset has a click-through rate 20% below average; recommend adjusting creative direction,”—optimization plans ready for immediate implementation.
6. Asset Management
The Asset Management Agent plays the role of the team’s asset custodian, handling lifecycle management of creative materials and preserving brand assets. As creative production scales up, asset management itself becomes complex. The Asset Management Agent provides a unified asset repository that automatically classifies and tags materials, performs version pre-review, and manages permissions.
It can record each asset’s creative background, placement history, and performance data, forming a complete lifecycle archive for each piece of content. When the team needs to reuse a successful creative element, it can be quickly retrieved and deployed. It also supports cross-team collaboration—team members with different roles can access and use the asset library according to permissions, avoiding duplicated production and resource waste.
Navos’s core value is that it transforms a previously fragmented ad workflow into an orchestratable intelligent team collaboration. In the traditional model, market research, campaign planning, asset production, campaign execution, and data analysis are often handled by different tools, systems, or even external vendors. The information transfer between stages depends on manual work and communication, which is inefficient and error-prone. Navos integrates these stages into a collaboratively operating intelligent system, allowing information to flow automatically between Agents and enabling end-to-end strategy execution.
What are Core Strengths of Navos?
Navos’s core competitiveness doesn’t stem from a single breakthrough but from a forward-looking advertising intelligence system built on a systematic architecture, multi-agent collaboration, and a global data foundation. In an era when marketing decisions are increasingly data-driven, creative production is highly dynamic, and the advertising environment is growing more complex, Navos’s six core advantages are redefining what advertising teams can achieve.
1. Comprehensive global data assets
Advertising intelligence fundamentally depends on data scale and structuring capability. Navos integrates massive creative assets, campaign strategies, and user behavior samples from major global media such as TikTok, Facebook, and Google to build a multidimensional, cross-media data resource pool. This allows Navos not only to identify creative trends, popular formats, and placement preferences, but also to use models to uncover structured patterns from hundreds of millions of assets and provide high-value insights for advertisers. For example, changes in creative cycles, regional preference differences, and audience segmentation traits can all be automatically updated and inferred through Navos’s data foundation, helping brands maintain an information edge in rapidly changing markets.
2. Global experience and credibility
Navos is built on TenDong Tech’s decade of global marketing expertise. TenDong has long served over 100,000 overseas brands, navigated multiple industry cycles, and gained deep understanding of growth dynamics across e-commerce, gaming, apps, and consumer brands. The team’s global marketing infrastructure already covers more than 200 countries and regions and has comprehensive operational capabilities across languages, cultures, and regulatory environments. This means that when designing strategies and agent logic, Navos brings not only modeling capabilities but also practical systems and localized deployment experience, helping users avoid cultural mismatches, budget waste, and compliance risks in cross-border marketing.
3. AI-augmented decision models
Achieving high-quality growth requires deeply modeling the relationships between vast ad performance data and user behavior. Navos builds AI decision-augmentation models based on multimodal ad data (video, images, scripts), user interest signals, campaign outcomes, and platform feedback mechanisms. These models can identify which creative elements drive conversions, which audience segments are price-sensitive, and which ad combinations can scale under specific target costs, and they automatically adjust strategies based on real-time data. This systematic reasoning and predictive capability shifts marketing decisions from experience-driven to model-driven, making cross-regional campaigns more stable and replicable.
4. Strategic consistency
A unified marketing strategy is what allows every team to push toward the same ROI goals and direction. Navos builds a system-level intelligent team where all agents operate based on a unified brand knowledge base, strategy framework, and contextual system. This means your insights, creatives, and campaigns truly “think within the same brain” for the first time. Whether analyzing trends, writing scripts, or selecting campaign strategies, the outputs from each agent are highly consistent, avoiding the common biases and communication frictions found in traditional teams.
5. 24/7 intelligent monitoring
Global operations require marketing teams to respond across time zones, continuously monitor campaign performance, and handle incidents. Navos’s intelligent monitoring capability provides real-time oversight of campaign status, budget pacing, creative performance fluctuations, and other key metrics, delivering second-level responses and proactive alerts. For issues like abnormal budget burn, creative fatigue, cost spikes, or account risk warnings, agents automatically detect problems and push handling plans, and when necessary, adjust strategies autonomously—reducing the need for manual monitoring and enabling stable round-the-clock operations with minimal staff.
6. Data security and compliance
In the AI era, data security is the foundation of trust. Navos employs full-chain encryption covering data transmission, storage, access, and processing to ensure all information operates securely within a closed-loop environment. At the same time, it adheres to major national and regional privacy protection standards and platform policy requirements, controlling data usage scope and access permissions to ensure sensitive data is neither leaked nor reused nor used to train external models. Companies can run intelligent marketing within a strict security framework without worrying about data breaches or compliance risks.
What Can You Get from Navos?
1. Increased production efficiency
A set of creative production tasks that would take a traditional team weeks—scriptwriting, asset iteration, cross-platform adaptation, and more—can be completed by the Navos AI advertising team in milliseconds through collaborative processes. This creates a full closed loop from “insight to creative, creative to deployment, deployment to analysis,” accelerating strategy validation and creative iteration. Overall marketing efficiency can improve by up to 10x. In complex marketing environments spanning regions, products, and platforms, this kind of global coordination is key to sustainable growth.
2. Scalable capacity
With platforms constantly updating trends, user preferences shifting quickly, and the lifecycle of ad creative getting shorter, pressure on the content supply side has surged. Small traditional teams made up of copywriters, designers, and post-production specialists can no longer keep pace. The result: creative teams are chronically overworked, and production bottlenecks in turn limit campaign effectiveness.
Navos’ AI team can create multiple creative assets simultaneously, optimize dozens of campaigns, and manage ad targets and plans across regions and languages—without being limited by physical headcount. For teams pursuing rapid growth, massive e-commerce scale, or multi-market expansion, this scalability is a critical competitive advantage.
3. Optimized cost structure
As the number of assets, channels, and markets expands, repetitive human labor must be added continuously while output growth can’t keep up. Management overhead, training costs, and cross-region collaboration expenses rise sharply, causing diminishing growth efficiency.
When large volumes of repetitive, mechanical tasks are taken over by Agents, you’re freed from heavy execution work and can focus on higher-value areas like strategy, brand, and creative direction. Teams no longer need to expand linearly to achieve broader business coverage with limited resources.
4. Enhanced human–AI collaboration
Navos drives a comprehensive upgrade in human–AI collaboration. You handle direction and judgment while AI employees handle execution and optimization; you set standards while AI employees conduct large-scale experimentation and iteration; you build brand narratives while AI employees translate those stories into hundreds of creatives, multi-channel deployment strategies, and data feedback. This new division of labor lets organizations improve decision quality and lower execution costs to boost growth efficiency.
It’s important to emphasize that AI employees don’t replace humans—they raise the team’s ceiling. They allow small teams to accomplish the workload of large teams and enable large teams to explore more innovation. They return creativity and media buying to being strategy-led rather than task-driven. Marketers no longer need to spend huge amounts of time on mechanical tasks like exporting assets, configuring accounts, or organizing data; instead, they can focus on determining which strategies will best resonate with users.
The Future of Advertising
AI teams will become the new standard.
The AI-team model represented by Navos means far more than a single product or platform—it signals the direction of evolution for advertising and marketing organizations.
1. Human + AI teams will become standard
Collaboration between people and AI teams will become the industry’s default working model. The traditional “people-driven growth” model is giving way to a new approach where humans set direction and AI handles execution. In this model, human teams will focus on high-value decisions like strategic design, brand storytelling, and creative judgment, while AI teams—exemplified by Navos—will take on high-frequency, repetitive, and automatable tasks such as data analysis, creative generation, asset iteration, and campaign adjustments. When these two work together, marketing organizations can achieve exponential productivity without expanding headcount, truly supporting larger business scale with higher human efficiency.
2. Creativity and media buying enter an era of autonomous evolution
Marketing used to rely on “people finding direction and manual trial-and-error,” but future growth will be built on a closed loop of “data finding direction and AI continuously iterating.” As multi-agent systems improve in creative generation, strategy optimization, and audience modeling, marketing systems will shift from depending on human judgment to automatically adjusting based on real-time feedback. For example, if a creative asset performs differently across regions, AI can automatically generate new versions and validate them in minutes; if ad costs fluctuate, the system can automatically identify causes and adjust pacing. This means a brand’s growth cadence will no longer be limited by team speed but driven by algorithms, with higher-frequency optimizations fueling continuous, compounding growth.
3. Marketing organizations shift from “operations-driven” to “strategy-driven”
As many operational tasks become automated by AI, the hierarchy, role divisions, and personnel composition of traditional marketing teams will be reshaped. Creative and media teams will no longer require large executional headcounts; instead, a smaller, more specialized strategy core will rely on AI workers to carry out implementation. This not only streamlines organizational structure but also allows each member to focus more on key decision points, improving the brand’s strategic clarity and market responsiveness. Ultimately, companies will evolve from models that heavily depend on experience, processes, and management overhead into highly efficient growth systems centered on strategic decision-making and intelligent execution.
As this trend accelerates, Navos stands at a pivotal point in the industry’s transformation. As one of the first systems to implement an AI-team architecture in advertising, Navos not only has large-model intelligence but also supports cross-functional collaboration, multi-agent orchestration, cross-platform data integration, and end-to-end execution. It can be embedded directly into a company’s marketing organization to become a new, efficient growth engine.
Build Your AI Advertising Team
In today’s highly dynamic marketing environment, companies commonly face surging content demand, faster campaign cadences, rapidly changing channels, and increasing data complexity. Traditional, labor-dependent organizational structures can no longer deliver the speed and precision required for scaled growth. Navos is partnering with leading brands, global agencies, and fast-growing e-commerce sellers to reshape ad team structures and formally incorporate AI teams into core growth systems.
If you’re pursuing more efficient content production and want to maintain rapid asset iteration amid changing platform algorithms; if you need real-time responsiveness in media buying so budget, creative, and strategy remain optimal; if you aim to build a data-driven strategy system that increases growth certainty through scientific methods; if you want to reduce manual work and repetitive labor and shift your team’s focus from execution to thinking and judgment; if you aspire to create a complete growth loop from insights to creative to media to analysis—then Navos is the AI teammate best suited to stand alongside you.
Whether you’re a startup growth team or a mature brand with global ambitions, Navos can help you build a future-ready ad team architecture with highly scalable, automated, and intelligent capabilities.
