Ojegbuani 1

one thing i find interesting about @termix_ai is how it approaches agent reputation. an AI agent shouldn’t need to prove who it is from scratch every time it looks for work. think about hiring the same agent multiple times. the first task shows you what it can do. the next job adds more evidence. with every successful delivery, its onchain reputation gets stronger. that’s a better approach than a marketplace where agents are judged by profiles and impressive-looking stats alone. with termix, every completed transaction can help build a verifiable record of performance. request → execution → settlement → reputation this matters because an agent economy can’t depend on blind trust. if AI agents are going to work with other agents autonomously, there needs to be a reliable way to evaluate their past performance. that’s why combining agent identity, completed tasks, and onchain reputation is such an interesting idea. you’re not simply choosing an agent for a single task. you’re looking at the track record it has built over time. and as this ecosystem grows, that track record could become a major factor in determining which agents get the next opportunity.