Coze’s sudden decision to go open-source sparked heated discussions in the AI community, but we weren’t surprised.
Users Want Results, Not Tools
ByteDance (parent company of TikTok) intended Coze as an “agent marketplace,” enabling developers to create custom agents that users could pay to access. However, reality rarely matches ambition. Non-technical users found drag-and-drop configurations cumbersome, while technical users chafed under restrictive limitations. Ultimately, both creators and users drifted away.
At its core, users prefer fully-prepared solutions, not complicated tools for making their own.
99% of Customization Requests Are Illusions
Early user research confirmed our suspicion: most “personalized” requests were, in reality, highly standardized. Truly specialized needs accounted for less than 1%—best handled by professional developers.
Even worse, after configuring their agents, users faced repeated testing and debugging cycles, only to find the final results still platform-dependent, bringing frustration rather than satisfaction.
As foundational models like ChatGPT and Claude rapidly improve, intermediate configuration platforms lose relevance. Advanced models can now dynamically interpret user needs and autonomously generate workflows.
A Shakeup for Agent Configuration Platforms
We anticipate a major reshuffle: configuration platforms will either go open-source or be forced to shut down, driven by:
- Rapidly improving foundational models
- Decreasing user tolerance for unfinished products
- Accelerating standardization of business needs
Coze’s open-source decision, shifting maintenance burdens to the community, was rational.
Maybe AI’s Different Path
At Maybe AI, we’ve reflected deeply on this trend, opting for a distinctly different approach.
We neither provide configuration tools nor chase after universal agents. Instead, we focus on a single, crucial goal: precisely converting users’ vague needs into clear, actionable outcomes.
Our product achieves this through three features:
- Intelligent Understanding: Accurately identifying user intent.
- Autonomous Execution: Self-correcting and optimizing processes.
- Result Delivery: Clear, usable outcomes.
Users’ cognitive load is thus simplified to three key points: confirming needs, transparency of the process, and reliability of results.
Technology Serves Business, Not the Other Way Around
Practically, we take a flexible, pragmatic approach:
- Mature APIs for standard scenarios to guarantee stability and performance.
- MCP protocols in exploratory scenarios for dynamic tool combinations.
Our technological choices always prioritize enhancing user experience, never technical showmanship.
Shifting from Tools to Outcomes
This represents the fundamental difference between Maybe AI and other products. Most AI offerings are still tool-focused—providing stronger hammers. We directly hammer the nails for our users.
Users genuinely need stable, certain, and straightforward solutions, not the extra burden of learning complicated new tools.
Coze’s open-sourcing marks the end of the configurable AI platform era. The outcome-driven AI product era, however, is just beginning.
Maybe AI is launching soon. Stay tuned for more updates and experience our progress firsthand.
About Maybe AI
Maybe AI is a business data workflow automation platform that lets prosumers describe their data needs in natural language and automatically handles the complete "acquire → analyze → act" business cycle, with intelligent solutions that learn and evolve with each use.
Website: https://maybe.ai/
X: https://x.com/hey_maybe_ai
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