Surfaces the new GET /analytics/flowpilot/escalations endpoint as a card
above the EscalationQueue list. Closes the loop from yesterday's metric
endpoint commit — seniors and owners see the wedge stat the moment they
open the queue, which is the daily-reps version of the GTM ROI story.
Pieces:
- EscalationMetrics TS interface mirroring the backend Pydantic model
(incl. metric_definition disclaimer field)
- flowpilotAnalyticsApi.getEscalationMetrics(period) client method
- EscalationMetricCard component:
* loading skeleton, error state, zero-data empty state
* avg + median + n_with_action/n_claimed conversion rate
* humanized seconds → "Ns" / "N.N min" formatting
* inline disclaimer reminding callers this is in-product time-to-
first-action only, NOT the savings claim — pair with manual
baseline (per /codex review's two-metric correction)
- Wired into EscalationQueuePage above EscalationQueue
DS-aligned: card-flat, accent-dim usage held to interactive elements,
text-muted-foreground for secondary copy, font-heading on the headline
number, explicit transition properties (no `transition: all`). Respects
prefers-reduced-motion implicitly (only animation is the loading pulse,
which Tailwind's animate-pulse already gates).
tsc -b clean. No new tests in this commit — component is a thin
state-machine over an axios call; integration coverage comes from the
existing backend tests + the e2e Playwright work in the plan.
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
Engineers can now generate AI-powered status updates during active FlowPilot
sessions and after resolve/escalate. Three audiences (Ticket Notes, Client
Update, Email Draft) with Quick/Detailed length options. Copy to clipboard
with one click. Client names auto-inserted from intake/PSA context.
Backend: new endpoint POST /ai-sessions/{id}/status-update with audience-aware
system prompts. Frontend: StatusUpdateModal with 2-step selection flow,
Share Update button in action bar, Share Resolution/Escalation on completed
sessions. Also updates Solutions Library spec with Community tier design.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Implements Phase 1 of the FlowPilot-First pivot — the core AI session
experience where engineers describe a problem and FlowPilot guides them
through structured diagnosis with selectable options, free-text escape
hatches, and auto-generated documentation on resolution.
Backend: AISession + AISessionStep models, FlowPilot Engine (LLM
orchestration with structured JSON output), Flow Matching Engine v1
(semantic + keyword + recency scoring), 8 API endpoints with auth,
rate limiting, and AI quota enforcement.
Frontend: Intake screen, conversational session view with sidebar,
step cards with options/actions/resolution suggestions, resolve/escalate
modals, documentation view with rating, session history integration,
and /pilot route with sidebar navigation.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
