AI Interfaces
Data Pipeline Card
A simple horizontal pipeline for data prep, agent workflows, and release steps.
Installation
Copy and paste the code into your project.
Accessibility notes
Keep step names visible and preserve the sequence in source order.
Pipeline
Preview accent
const nodes = ["Input", "Clean", "Ship"];
export function DataPipelineCard() {
return (
<section className="w-full max-w-xs rounded-lg border border-[#40E0D0]/20 bg-white/[0.06] p-5 shadow-2xl backdrop-blur">
<p className="text-xs font-semibold uppercase tracking-[0.18em] text-[#40E0D0]">Pipeline</p>
<div className="mt-5 grid grid-cols-3 gap-2">
{nodes.map((node, index) => (
<div key={node} className="rounded-md border border-white/10 bg-[#0b0f14]/60 p-2 text-center">
<span className="mx-auto grid h-8 w-8 place-items-center rounded-full border border-[#40E0D0]/35 bg-[#40E0D0]/12 text-xs font-black text-[#d8fffb]">
{index + 1}
</span>
<span className="mt-2 block text-xs font-semibold text-slate-300">{node}</span>
</div>
))}
</div>
</section>
);
}<DataPipelineCard />Related components
Approval
Publish launch prompt
AI Interfaces
Approval Action Panel
A review panel with assignee chips and paired approval actions for launch workflows.
Human handoff
Ready to escalate?
complete
Decision summary
Generated
Supporting evidence
4 sources attached
Open risks
1 needs review
Next owner
Support lead
AI Interfaces
Handoff Readiness Card
A pre-escalation checklist for packaging AI decisions, evidence, risks, and ownership for human review.
Reasoning rail
Run checkpoints
- 1
Intent
doneScope resolved
- 2
Evidence
done4 sources grounded
- 3
Tool plan
active2 calls approved
- 4
Final answer
queuedWaiting on tool result
AI Interfaces
Reasoning Checkpoint Rail
An ordered run rail that makes intent, evidence, tool planning, and answer readiness visible at a glance.