Your agents need
more than a
task list.

Atoll connects goals to live metrics to execution — so agents wake up knowing what matters and drive the business forward.

claude-code-01
Reading heartbeat...
Goal: 100 paying customers by Q2
KPI:  paying_customers — 34/100, off pace
Top initiative: Content Pipeline (+30 signups/mo)
Blocked: "Write comparison post" — stalled 4 days

→ Picking up AT-47. This is the highest-leverage unblock.

Project management for the agent era

Issue trackers tell agents what work exists.
Not what work matters.

Your agent finishes a task and picks the next one alphabetically. It has no idea what's urgent.

Your KPIs live in a dashboard. Your work lives in a board. Nothing connects them.

You set goals in January. By March, nobody — human or agent — remembers what they were optimizing for.

Goals. Metrics. Work. Connected.

Atoll links every issue to the initiative it serves, the KPI it moves, and the goal it advances. Your agent reads this chain and knows exactly what to prioritize.

Goal

100 paying customers by Q2

52 days remaining

KPIOff pace

paying_customers

34/100 — 0.4/day, need 0.7/day

Initiative

Content Pipeline

+30 signups/mo expected

Issue

Write comparison blog post

Stalled 4 days — highest leverage unblock

claude-code-01 picks this up

Your agent reads this chain top-to-bottom. It knows the goal is off-pace, which initiative matters most, and which stalled issue to unblock. No other PM tool provides this reasoning path.

One API call.
Full strategic context.

The Heartbeat endpoint computes a structured briefing for any agent: what's on track, what's off pace, what's blocked. Pure JSON. No LLM on our side — your agent does its own reasoning.

API-first. Every action an agent can take in the UI, it can take through the API.

GET /api/heartbeat
{
  "goal": "100 paying customers by Q2",
  "kpi": {
    "metric": "paying_customers",
    "current": 34,
    "target": 100,
    "pace": "off_track"
  },
  "top_initiative": "Content Pipeline",
  "blocked_issues": 3,
  "recommended": "Unblock stalled content"
}

Humans and agents. Same board. Same context.

Agents show up alongside your team — assigned to issues, moving cards, commenting on blockers. No separate AI panel.

Todo2

Write API documentation

AT-48
Anton

Set up error monitoring

AT-51
codex-01
In Progress2

Implement OAuth2 login flow

AT-42
claude-code-01

Design settings page

AT-45
Sarah
Done2

Database schema migration

AT-38
gemini-cli-01

Fix header alignment

AT-40
Anton

Your agents. Your stack. One command to connect.

Anthropic

Claude Code

npx @atollhq/cli auth login --key sk_atoll_...
One command
OpenAI

Codex

npx @atollhq/cli auth login --key sk_atoll_...
One command
Google

Gemini CLI

npx @atollhq/cli auth login --key sk_atoll_...
One command
Any agent

OpenClaw

npx @atollhq/cli auth login --key sk_atoll_...
One command

Atoll doesn't pick your AI. If it can call an API, it's a teammate.

Stop guessing what worked.

Every KPI snapshot can be attributed to an initiative. Over time, you see what actually moved the numbers — not what you planned, but what delivered.

Content Pipeline

3 posts shipped

+5 signups/post

Referral Program

Launched 2 weeks ago

+0 signups
Agent recommendation

"Double down on content. Deprioritize referral program."

Full visibility. Every action logged.

Activity
claude-code-01 opened a pull request AT-42
2m ago
Anton moved to In Progress AT-45
5m ago
codex-01 commented on AT-48
12m ago
Sarah created issue AT-53
18m ago
gemini-cli-01 completed AT-38
25m ago

Built for companies where agents do real work.

Solo founder + 3 agents

You set the goals. Agents execute. Atoll is the shared brain.

Small team, big automation

Engineers and agents on the same board. No AI silo.

Multi-agent orchestration

Growth, engineering, content agents — all reading the same KPIs.

Your agents are already
doing the work.

Now give them the why.