{ design@tive } information design

What if the biggest coordination risk in agentic systems isn't too little information, but too much? As agents summarize, prioritize, and mediate collaboration, how do teams maintain common ground instead of drifting into fragmented understanding? #AgenticAI #ArtificialIntelligence

We keep asking whether #AI can explain itself. But in agentic systems, the bigger challenge may be visibility. The issue isn't understanding decisions after they happen—it's knowing what the system is doing while work is still unfolding. Transparency matters, but awareness enables trust. #AgenticAI

#Accessibility failures in agentic systems do not always look like exclusion. More often, they look like missing disagreement, silent participants, incomplete organizational memory, or teams mistaking workflow silence for real alignment. #AgenticAI #ArtificialIntelligence #AIUX #UXforAI #Usability

Most #AI #UX discussions still treat feedback as a #usability feature. But once agents help prioritize, synthesize, and coordinate work, feedback becomes governance infrastructure. The challenge is designing adaptive systems. that remain governable without turning people into full-time supervisors.

We often discuss “trustworthy AI” as if trust is the goal. But what if systems become reliable before humans can properly inspect or intervene? The challenge may not be trust, but calibrated reliance. #AgenticAI #AI #TrustBuilding #HumanAgentCenteredDesign #TrustCalibration

Most organizations think they preserve human control because someone still approves the #workflow. Meanwhile, #orchestration systems already shape what people see, prioritize, escalate, or ignore. This article argues that control is about governable delegation — not approval screens. #AgenticAI

Most #AI UX still treats conversation as #interface polish. But to shape dialogue patterns in agentic systems is really to design #coordination, #escalation, #oversight, and organizational #trust. What happens when dialogue becomes operational infrastructure? #AgenticAI #HumanAgentCenteredDesign

Most #AI transparency discussions assume a single model explaining a single output. But what if #reasoning involves multiple layers, workflows, and #agents? The challenge might not be explainability but interrogability. #AgenticAI #ArtificialIntelligence #InteractionDesign #HumanAgentCenteredDesign

What if the most important product decisions in #AI systems no longer live in #interfaces, #PRDs, or #journeymaps? They now live inside routing logic, memory systems, escalation policies, and #orchestration pipelines. Are product teams reviewing those layers? #AgenticAI #ArtificialIntelligence

Engineers run the AI evals. But who decides what “good” actually means? If your criteria only measure what’s easy, your product will optimize for the wrong things. Should designers and PMs own eval criteria? Let’s debate. #AIEvals #ProductDesign #UX #AgenticAI #DesignLeadership #UXforAI #AIUX

We talk a lot about what AI agents should do. But who defines what they’re allowed to do? Workflow encapsulation shifts design from interfaces to boundaries and makes design leadership a governance issue. Are you ready for that shift? #DesignLeadership #AgenticAI #UXStrategy #DesignManagement #AI

#AgenticAI breaks traditional requirements. If systems interpret goals, are outcomes enough—or do we need explicit intent? Intent documentation in agentic #ProductDesign may be the missing layer. Curious how teams should adapt? #ArtificialIntelligence #DesignManagement #DesignStrategy

We can trace everything our AI systems do—but can we tell if it’s actually good? Evaluation in agentic AI is not about more metrics. It’s about defining what “good” means—and testing it continuously. Are your #evals designed—or just observed? #AgenticAI #ProductStrategy #UXStrategy #ProductDesign

We’ve focused on explainability—but is that enough? If you can explain a decision but can’t see how the system behaves over time, can you really trust it? Maybe the real gap in AI design isn’t reasoning… it’s observability. #AI #UX #ProductStrategy #HumanAgentInteraction #Observability #Metrics

Oscar Schmidt, Brazil's basketball legend, passed at 68. He turned down the NBA and still became a legend. Was it a bold choice or a missed shot? After photographing him with Magic Johnson, I saw his genius in a different light. #Basketball #RIPOscar

We keep saying “put a human in the loop” as if that guarantees control. But what if it doesn’t? What if control isn’t about presence—but about how responsibility and authority are designed? Where does HITL actually break down? #AI #AgenticAI #HumanAgentCenteredDesign #ProductStrategy

Why do AI collaboration tools fail remote teams? Maybe the issue isn’t the tech—but how we structure the work. When collaboration is misapplied, AI doesn’t fix it—it exposes it. Are we designing for alignment… or just adding tools? #AI #Collaboration #RemoteWork #UX #ProductDesign #DesignStrategy