Why is there no warning before one agent's bad output poisons the rest of my pipeline?
機会
Multi-agent systems fail at rates between 41% and 87%, with coordination breakdowns alone accounting for 37% of those failures, yet there is no observability layer that surfaces cascade risk before it propagates. Unlike microservices, where a latency spike in one service appears in APM dashboards before it takes down the others, a hallucinated or wrong output from one agent propagates silently until a downstream agent acts on it irreversibly. Emergent failure modes in multi-agent settings, including cascading hallucinations, inter-agent collusion, and information leakage, cannot be predicted from single-agent safety evaluations. The International AI Safety Report 2026 and the OWASP Agentic AI Top 10 published in December 2025 both flag cascade amplification as a first-class risk, and no production tooling targets it specifically.
重要な理由
A cascade observability layer for agent pipelines is the same primitive that APM was for microservices, and it does not exist yet.
機会をどう評価するか
Opportunity Scoreは測定値ではなく、私自身の見解です。どれほど痛みを伴うか、どれほど頻繁に影響を与えるか、そして今日時点で解決策がいかに少ないか。スコアが高いほど、構築する価値が高いと私は考えています。
それが現れたときにどれほどの痛みをもたらすか。
実際にどれほど頻繁に人々がそれに直面するか。
今日時点で、それに対する優れたツールがいかに少ないか。