AI agents are beginning to carry reputations based on their actions, shaping how much trust they earn from users and peers alike. Beyond individual interactions, these reputations spread through transitive trust, where agents share insights about each other, creating a network of reliability. Here’s how agents build and extend trust in this interconnected way.

Earning a Reputation Through Actions

An agent’s reputation grows from its performance, forming a clear picture over time.

• A travel agent that books flawless trips—like finding the best flights—gains a strong standing, while one that misses connections falters.
• In a group setting, an agent delivering precise calculations—like budget forecasts—earns respect, unlike one prone to errors.
• Every success or failure shapes how they’re seen, establishing a history others can judge.

Gaining Trust from Users

Agents secure user confidence by consistently meeting needs and showing they care.

• A home agent that adjusts lighting to your mood—and remembers it—builds a personal trust that feels natural.
• They offer clarity, like explaining a delay due to traffic, so you know they’re working in your favor, not against it.
• With each reliable act, users grow comfortable depending on them, forming a steady bond.

Establishing Credibility with Other Agents

Reputation matters in agent-to-agent dealings, where trust drives cooperation.

• An agent that shares accurate data—like real-time stock prices—becomes a preferred collaborator over one that guesses.
• One known for honoring agreements, such as splitting tasks fairly, gets picked for joint efforts more often.
• This peer trust strengthens teamwork, as agents lean on those with proven records.