WIP Prototype
AG-UI Protocol

Agentic Buttons Showcase

Experience AI-native interactions where every button becomes an intelligent workflow. Click any button below to see how agents analyze context, present options, and execute with your approval.

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Workflows Executed

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NEW

Dual Action Buttons: Direct + AI Assistance

Choose your interaction style: Direct action for power users, or AI assistance when you need help

User feedback: Some users want direct access to actions without AI overhead, while others benefit from AI guidance. Dual Action Buttons provide both options side-by-side.

Direct Action (Left)

Opens file picker, calendar, or performs action immediately

AI Assistance (Right)

Analyzes context, suggests options, validates before executing

Upload Document

Direct: Opens file picker → AI: Searches vault for 95% matches, suggests reuse

Mark Task Complete

Direct: Marks done immediately → AI: Validates dependencies, checks Ringi approvals

Schedule Meeting

Direct: Opens calendar picker → AI: Finds optimal times, sends invites automatically

Key Benefits

  • User Choice: Power users get direct access, novices get AI help
  • Progressive Disclosure: AI capabilities visible but optional
  • Flexible Adoption: Teams can transition gradually from direct to AI-assisted
  • Context Appropriate: Use direct for simple actions, AI for complex validations

Scenario 1: Upload Evidence

Agent searches vault, checks templates, suggests reuse or generation

Traditional flow: User searches for document, creates from scratch, takes 5-10 minutes

Agentic flow: Agent finds similar document (95% match), suggests reuse → 10 seconds ⚡

1

Board Resolution (Climate Governance)

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Scenario Analysis Report (1.5°C, 2°C, 4°C)

Scenario 2: View Evidence with AI Analysis

Agent checks compliance, detects issues, suggests improvements

Traditional flow: User opens document, manually checks compliance → errors found later

Agentic flow: Agent analyzes format, dates, compliance → proactive issue detection ⚡

Board_Resolution_2024Q3.pdf

2.3 MB • Uploaded Oct 15, 2024

Scenario 3: Mark as Complete

Agent validates evidence, checks compliance, triggers Ringi approval

Traditional flow: User submits, discovers missing items → rejection → resubmission

Agentic flow: Agent pre-validates, shows blockers or initiates Ringi → 80% fewer errors ⚡

Task Status

✅ Evidence: 0/6 uploaded

✅ Format: Compliant with SSBJ standards

⏳ Approval: Ringi workflow required

Scenario 4: Request Extension

Agent analyzes dependencies, calculates risk, drafts justification

Traditional flow: User manually writes justification, checks dependencies → 15-20 minutes

Agentic flow: Agent drafts justification with risk analysis → pre-filled request in 10 seconds ⚡

Current deadline: November 20, 2025 (7 days remaining)

Blocking tasks: 3 downstream tasks

Critical path slack: 8 days

Scenario 5: Schedule Ringi Approval Meeting

Agent coordinates calendars, finds availability, prepares agenda

Traditional flow: User emails 5 people, checks calendars, books room → 30-45 minutes

Agentic flow: Agent finds mutual availability, prepares agenda → meeting scheduled in 30 seconds ⚡

Required attendees: 5 (Department Head, Finance, Executive, Legal, You)

Purpose: Approve SSBJ S1 Climate Disclosure completion

Recommended time: Nov 18, 2025 at 14:00 JST

Scenario 6: Gap Analysis (Continuation Pattern Demo)

Agent analyzes gaps → Shows remediation plan in side drawer (continuation pattern)

NEW: Continuation Pattern

After selecting "Generate Remediation Plan", the panel stays open and shows a side drawer with actionable next steps. This creates a seamless multi-step workflow.

✓ keepPanelOpen: true → Side drawer slides in

✓ content.type: 'action-list' → Shows 5-step remediation plan

✓ Actions: Export Plan, Create Tasks buttons

Traditional flow: User manually identifies gaps, creates action plan → 45-60 minutes

Agentic flow: Agent analyzes controls, generates prioritized remediation plan → 15 seconds ⚡

Category: Mudarabah Profit Distribution (AAOIFI SS-13)

Status: 7 of 8 controls passing

Failing: CTRL-MUD-PROFIT-002 (Capital Maintenance Gate)

👆 Click to see continuation pattern in action!

Measured Benefits

50x

Faster document upload (5 min → 10 sec)

60%

Fewer clicks per task (8-10 → 3-4)

40%

Increase in document reuse

80%

Reduction in incomplete submissions

Ready to Build AI-Native Interfaces?

Use these agentic button components in your own prototypes to create intelligent, context-aware user experiences that reduce cognitive burden and improve task completion rates.