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5.0

Real-time, real signal

Pulse cards, burn-up charts, scatter plots — everything you need to see slippage before it happens.

Throughput
+34%
At risk
  • At risk ENG-2703
  • On track ENG-2840
Burn-up — UI Refresh
Forecast on track · Q3 close: Aug 4
Weekly report — Engineering
  • Shipped 14 PRs · 8 human · 6 agent
  • In review 5 PRs · median 3.2h
  • Slipped 1 initiative · ENG-2703
  • Drift +2.4 days this week
Active alerts
  • Slip Initiative drift > 7d
  • Risk Agent output blocked > 2h
  • Info Cycle closes in 3 days
  1. 5.1 Pulse

    A real-time dashboard ranked by what's drifting, not what you asked about — the alerts find you.

  2. 5.2 Insights

    Burn-up charts and forecasts that update as code lands — see slippage two weeks earlier than the standup did.

  3. 5.3 Reports

    Auto-generated weekly digests with throughput, agent vs human split, and slip warnings — pasted straight to Slack.

  4. 5.4 Alerts

    Slack and email pings when metrics drift past thresholds — pinned to the issue, not just a channel.

1.1

How it works

Step 01

Capture from anywhere

Slack threads, GitHub PRs, customer emails — Grid agents read them and propose structured issues with priority and labels.

@Grid
create urgent issues
Step 02

Triage in seconds

Issues land already labeled, assigned, and sized. Humans review or override; Grid learns from every decision.

Bug
Perf
Design
Step 03

Execute with agents

Delegate execution to Copilot, Codex, Cursor, or your own agents over MCP. Track progress in the same timeline.

Copilot
Codex
Cursor
Faster triage
−40% Time to ship
12 Agents in production

“Grid became the way our org thinks. Every initiative, agent run, and PR lives in one place — and the team actually trusts it.”

Adam Lerner VP Engineering, OpenAI

The future of product work