Human task tracking with agent execution control

The issue tracker built for AI agent delivery.

Plan work like Linear. Govern it like a production system. Give agents the context, permissions, approvals, and evidence requirements they need to safely complete software tasks.

Jira, Azure DevOps, and Linear track work for humans. buildr-plannr prepares work so AI agents can safely execute it.

Jira tickets with vague requirements: Clear agent task briefsEach task says the goal, non-goals, allowed tools, approvals, and checks.
Linear issues optimized for humans: Queues for humans and agentsReady, unblocked, permitted work rises above status-only sorting.
"Done" as a status: "Done" backed by proofCompletion requires tests, logs, screenshots, PRs, or reviewer proof.

Buy when: Agents will touch code, data, tickets, or customers.
Pilot when: You need one real task and one safe handoff first.
Wait when: Work is human-only and your tracker already feels clear.

Start free See pricing

Start now

Start free now; upgrade later from Billing.

Create the workspace first, prove one real workflow, then open checkout after email verification.

Not sure yet? Run the 60-second fit check.

Why not Jira, Linear, or Azure DevOps?

Because agents need more than a ticket.

A rough ticket can work for a human. An agent needs the exact goal, the files to read, what it may change, who must approve, and what proof counts as Done.

Jira tickets with vague requirements: Clear agent task briefsProduct term: Task contractsEach task says the goal, non-goals, allowed tools, approvals, and checks.
Linear issues optimized for humans: Queues for humans and agentsProduct term: Agent queuesReady, unblocked, permitted work rises above status-only sorting.
"Done" as a status: "Done" backed by proofProduct term: Evidence-based DoneCompletion requires tests, logs, screenshots, PRs, or reviewer proof.

Get one real task running in 10 minutes.

Minute 1
Start free and name the workspace
Use free signup, create the workspace, and keep the default workflow for the first task.
Proof: No sales call, migration, or admin setup is required before the first useful task.
Minute 3
Create or import one real task
Add title, owner, status, expected completion date, tags, and the simplest useful view.
Proof: Users can start as a normal tracker before adding agent briefs or proof rules.
Minute 7
Decide whether it needs agent control
If an AI agent will touch code, data, environments, or customers, add scope, policy, approvals, and Done proof.
Proof: Admins tighten only risky work instead of forcing every task into a heavy workflow.

Open quickstart

Why not Jira, Linear, or Azure DevOps?

Jira, Azure DevOps, and Linear track work for humans. buildr-plannr prepares work so AI agents can safely execute it.

Every risky task carries scope, files, allowed actions, approvals, run limits, and proof before Done.

Instead of: buildr-plannr gives you
Jira tickets with vague requirements: Clear agent task briefsProduct term: Task contractsEach task says the goal, non-goals, allowed tools, approvals, and checks.
Linear issues optimized for humans: Queues for humans and agentsProduct term: Agent queuesReady, unblocked, permitted work rises above status-only sorting.
Azure DevOps process-heavy workflows: Light rules plus proofProduct term: Execution policyAdd rules and evidence only where the work creates delivery risk.
Comments scattered across issues: Files, docs, decisions, and approvals in one placeProduct term: Context packsFiles, docs, links, decisions, and approvals travel with the task.
Agent usage hidden in tool accounts: Agent run and billing controlsProduct term: Commercial controlPlans, run limits, approvals, and billing match actual agent usage.
"Done" as a status: "Done" backed by proofProduct term: Evidence-based DoneCompletion requires tests, logs, screenshots, PRs, or reviewer proof.

Human trackersStore requests, comments, owners, status, and priority.

buildr-plannrAdds scope, files, allowed actions, approvals, run limits, and proof before Done.

Buy whenAgents will touch code, data, environments, customers, or production-facing tasks.

What is it?: A task tracker that turns normal work into safe AI-agent execution.
Who should buy?: Teams that want humans and AI agents in one governed planning system.
When is it not needed?: If work is human-only and agents never touch code, data, environments, or customers, a human-only tracker may be enough.
First win: Create one task, add owner/date/status, then decide if it needs files, approvals, and proof.

Buy when

Agents will touch code, data, tickets, or customers.

Pilot when

You need one real task and one safe handoff first.

Wait when

Work is human-only and your tracker already feels clear.

What agents need that trackers do not

Six concrete reasons teams buy buildr-plannr.

Keep Jira, Linear, or Azure DevOps as records if needed. Use buildr-plannr when the work must be safe for AI execution.

Clear task briefs

Task contracts

Every task defines scope, non-goals, tools, constraints, acceptance criteria, and approval rules before anyone starts.

Files and docs for the agent

Context packs

Agents get the right files, docs, links, architecture notes, incidents, and prior decisions before execution.

Allowed actions

Execution policy

Owners control what agents can do, where they can act, which tools they may use, and when approval is required.

Proof before Done

Evidence-based Done

Work is not complete until tests, logs, screenshots, PRs, and risk notes are attached and accepted.

Ready work queue

Agent queues

Ready work is prioritized by readiness, blockers, permissions, and run quota instead of status alone.

Agent run controls

Commercial control

Usage limits, plans, billing, audit history, exports, and enterprise controls are built around agent work.

Why not Jira, Linear, or Azure DevOps?

Because agents need more than a ticket.

A rough ticket can work for a human. An agent needs the exact goal, the files to read, what it may change, who must approve, and what proof counts as Done.

Jira tickets with vague requirements: Clear agent task briefsEach task says the goal, non-goals, allowed tools, approvals, and checks.
Linear issues optimized for humans: Queues for humans and agentsReady, unblocked, permitted work rises above status-only sorting.
"Done" as a status: "Done" backed by proofCompletion requires tests, logs, screenshots, PRs, or reviewer proof.

Get one real task running in 10 minutes.

Minute 1
Start free and name the workspace
Use free signup, create the workspace, and keep the default workflow for the first task.
Proof: No sales call, migration, or admin setup is required before the first useful task.
Minute 3
Create or import one real task
Add title, owner, status, expected completion date, tags, and the simplest useful view.
Proof: Users can start as a normal tracker before adding agent briefs or proof rules.
Minute 7
Decide whether it needs agent control
If an AI agent will touch code, data, environments, or customers, add scope, policy, approvals, and Done proof.
Proof: Admins tighten only risky work instead of forcing every task into a heavy workflow.

Why this beats a human-only tracker

Jira, Linear, and Azure DevOps track the work item. buildr-plannr turns it into an execution handoff.

Your current tracker stores requests. buildr-plannr turns each risky request into a clear brief with the right files, allowed actions, approval rules, run limits, and proof requirements before an AI agent touches code, data, or customer-impacting systems.

A ticket is a record. A safe agent task is an execution handoff with guardrails.

Clear task brief
Product term: Task contracts
Goal, non-goals, acceptance criteria, constraints, and owner approval are defined before work starts.
Files and docs
Product term: Context packs
Files, docs, links, architecture notes, and prior decisions are packaged for the agent.
Allowed actions
Product term: Execution policy
Admins decide which tools, repos, environments, data, and changes are permitted.
Proof before Done
Product term: Evidence-based Done
Done needs tests, logs, screenshots, PRs, risk notes, or reviewer acceptance attached.
Ready work queue
Product term: Agent queues
Humans and agents pick work by readiness, blockers, approvals, permissions, and run quota.
Agent run controls
Product term: Commercial control
Admins see who can run agents, how much they can use, what plans allow, and what needs approval.

The simple purchase test

If agents will touch work, buy the system that prepares the work before execution and proves it before Done.

Instead of	buildr-plannr gives you	So agents can safely
Jira tickets with vague requirements	Clear agent task briefsProduct term: Task contractsEach task says the goal, non-goals, allowed tools, approvals, and checks.	Know scope, non-goals, tools, constraints, approvals, and acceptance checks before they start.
Linear issues optimized for humans	Queues for humans and agentsProduct term: Agent queuesReady, unblocked, permitted work rises above status-only sorting.	Pick ready work by files, blockers, permissions, quota, and proof status.
Azure DevOps process-heavy workflows	Light rules plus proofProduct term: Execution policyAdd rules and evidence only where the work creates delivery risk.	Move fast while sensitive actions still require rules, approval, and proof.
Comments scattered across issues	Files, docs, decisions, and approvals in one placeProduct term: Context packsFiles, docs, links, decisions, and approvals travel with the task.	Start with the right files, docs, links, decisions, and approvals.
Agent usage hidden in tool accounts	Agent run and billing controlsProduct term: Commercial controlPlans, run limits, approvals, and billing match actual agent usage.	Know who can run agents, how much they can use, and what needs approval before rollout.
"Done" as a status	"Done" backed by proofProduct term: Evidence-based DoneCompletion requires tests, logs, screenshots, PRs, or reviewer proof.	Attach tests, logs, screenshots, PRs, risk notes, or reviewer proof before acceptance.

Need the longer Jira, Linear, and Azure DevOps breakdown? Keep the homepage decision simple, then use the knowledgebase for source-backed migration and comparison details.

Read the full comparison

Real product proof

Watch the actual app before reading the feature list.

This is not a concept mockup. The walkthrough is assembled from authenticated buildr-plannr screens: command center, list view, tag buckets, ready work queue, admin controls, MCP setup, and diagnostics.

First task

Title-only create form with optional details closed by default.

Try first task

Flexible views

Cards, List, tag buckets, and swimlanes read from the same task data.

See quickstart

Agent control

Clear briefs, files and docs, allowed tools, approvals, quota, and proof before Done.

Connect agents

Actual app walkthrough

Seven real screens in one short tour.

Should we buy this?

Choose buildr-plannr when agents need safe work, not just tickets.

If agents will execute software work, choose or pilot buildr-plannr. If all work stays human-only, keep your current tracker until the handoff risk appears.

Buy buildr-plannr

AI agents will touch code, data, environments, or customers.

Use buildr-plannr to give every agent task clear instructions, allowed actions, approvals, limits, and proof before Done.

Create first task

Pilot it first

You need proof before moving a team.

Create one workspace, add one real task, customize one workflow, and check the first handoff in ten minutes.

Open quickstart

Stay with your tracker for now

All work is human-only and your process is already clear.

Jira, Linear, or Azure DevOps may be enough until agents need scoped instructions, permissions, quota, and proof-backed completion.

Compare pricing

Choose your first click

Prove fit by role before reading the whole page.

A buyer should not need to decode every feature. Pick the path that matches the job you need done today, then use the deeper proof sections only if the first path fits.

User

I need a simple place for tasks, tags, status, owners, dates, and comments.

Start free and add one real task before choosing heavier controls.

Start tracking

Admin

I need to control terminology, swimlanes, roles, reminders, and Done rules.

Review admin setup and confirm the workspace works without a setup project.

Review admin setup

Agent operator

I need Codex, Claude Code, Cursor, or Cowork to pick up safe tasks.

Read MCP setup and prove the first task has files, allowed actions, approvals, and proof.

Connect agent tools

Choose the simplest useful setup

Start light, then add control only where the work needs it.

buildr-plannr should not force every team into the same method. Pick the mode that matches today's work, then turn on stricter workflow, admin, or agent controls when they create value.

Simple task tracker

Start with a bucket of tagged work.

Small teams that want tasks, owners, status, tags, due dates, comments, and a clean Cards or List view before adding process.

Start with

1Create the first real task.
2Add owner, date, priority, tag, and status.
3Use Cards, List, tag buckets, or swimlane/status buckets.

Add later

Custom fieldsTime trackingStale-work reminders

Good when: A teammate can open the workspace, understand the next action, and update work without training.

Start as a tracker

Custom team workflow

Shape the system around your operating model.

Admins who need custom swimlanes, terminology, roles, permissions, reminder rules, proof rules, imports, and billing controls from day one.

Start with

1Rename statuses and swimlanes.
2Set role access, invitation rules, and WIP expectations.
3Choose what warnings and evidence block Done.

Add later

Advanced approvalsImport mappingAudit exports

Good when: The admin can explain who may do what, when approval is needed, and what Done means before inviting the team.

Review admin controls

Agent execution system

Prepare work that AI agents can safely execute.

Teams using Codex, Claude Code, Cursor, Cowork, or other MCP-capable tools to pick up scoped software tasks.

Start with

1Write a clear brief with scope and non-goals.
2Attach files and docs, allowed tools, and blocked actions.
3Require tests, screenshots, PRs, risk notes, and approval evidence.

Add later

Remote MCPRun quotaProof before Done rules

Good when: An agent can claim only ready work, act within policy, and return reviewable evidence before Done.

Prepare agent work

Choose your first path

Know in sixty seconds whether this fits your team.

buildr-plannr should be obvious before a sales call: users track useful work, admins control the operating model, and agent operators send safe executable tasks to tools that support MCP.

Day-one confidence

95/100

Ready for self-serve evaluation: a new user, admin, or agent operator can each reach a useful day-one result without a setup project.

3 paths - fastest setup 10 minutes

New user

Can I start tracking useful work today?

Yes. Start with tasks, tags, status, owner, priority, and expected completion date before adding agent controls.

Confidence: 96/100
First setup: 10 minutes

First move: Create or import the first real task.
Day-one result: A teammate can open the workspace and know what to do next.

Simple task creationCustom viewsComments and reminders

Open user quick start

Admin

Can I control the system without a setup project?

Yes. Configure language, roles, reminders, Done rules, billing, audit, and MCP access from the app.

Confidence: 94/100
First setup: 10 minutes

First move: Pick the workspace language and workflow shape.
Day-one result: The admin can say what users and agents may do before inviting the team.

Rules centerRole matrixAudit and evidence policy

Review admin controls

Agent operator

Can Codex, Claude Code, Cursor, or Cowork execute safely?

Yes. Agents get a clear brief, trusted files, allowed actions, approvals, run quota, and required proof through MCP.

Confidence: 95/100
First setup: 10 minutes

First move: Choose a safe agent task with files, docs, and acceptance checks.
Day-one result: The first agent run is scoped, auditable, and reviewable.

MCP launch packetsAgent preflightProof before Done

Connect agent tools

Detailed proof

Open screenshots, admin controls, feature detail, and workflow proof only when you need more.

The homepage keeps the buying decision short first. This section holds the deeper product walkthrough, real app screens, media, and licence-confidence proof.

Open detailed proof

Why this is not just another task tracker

It turns human planning into safe agent execution.

Jira, Azure DevOps, and Linear are strong systems of record for human work. buildr-plannr adds the execution layer agents need before they can touch code, data, environments, or customers.

Clear task briefs

Product term: Task contracts

Every task defines scope, non-goals, tools, constraints, acceptance criteria, and approval rules before anyone starts.

Files and docs for the agent

Product term: Context packs

Agents get the right files, docs, links, architecture notes, incidents, and prior decisions before execution.

Allowed actions

Product term: Execution policy

Owners control what agents can do, where they can act, which tools they may use, and when approval is required.

Proof before Done

Product term: Evidence-based Done

Work is not complete until tests, logs, screenshots, PRs, and risk notes are attached and accepted.

Ready work queue

Product term: Agent queues

Ready work is prioritized by readiness, blockers, permissions, and run quota instead of status alone.

Agent run controls

Product term: Commercial control

Usage limits, plans, billing, audit history, exports, and enterprise controls are built around agent work.

Ready now

Briefs complete and unblocked

Needs files

Missing docs, repo hints, or decisions

Needs approval

Waiting for human review before mutation

Needs proof

Proof required before Done

What you get on day one

Simple for people. Structured enough for agents.

You can run a simple task workspace, a ready work queue with approvals and proof, or both in the same workspace.

For users

Start with a simple task list.

Create tasks, add tags and statuses, switch between Cards, List, and tag buckets, then add swimlanes when the work needs structure.

For admins

Control the workspace from day one.

Configure swimlanes, roles, permissions, reminders, approval rules, agent scopes, and proof requirements without an implementation project.

For agents

Send ready work, not vague tickets.

Agents receive the goal, scope, files, docs, allowed tools, blocked actions, verification commands, and proof required before Done.

Typical tracker ticket

"Fix checkout problems"

Requirements are hidden in comments or meetings.
Agents must guess scope, tools, risks, and test path.
Done means somebody moved the status column.

Agent action: blocked until a human rewrites the work.

buildr-plannr clear task brief

One vague ticket becomes a safe agent task brief.

Objective: Implement checkout retry handling for card declines without changing subscription plan logic.
Non-goals: Do not alter pricing, tax calculation, invoice history, or Cognito authentication.
Files and docs for the agent: Billing routes, Stripe webhook docs, recent checkout incidents, and the existing retry tests.
Allowed actions and approvals: Local tests and branch edits allowed; production Stripe settings and customer data require approval.
Proof before Done: Passing billing tests, Playwright checkout smoke, screenshot, PR link, and residual-risk note.

Agent action: safe to claim after approval and quota checks pass.

Admin control without extra setup support

Your terminology, rules, views, and agent boundaries.

The product should not force a methodology. Admins decide how work flows, which controls apply, and how strict the handoff needs to be.

Custom workflows

Create the statuses and swimlanes your team actually uses: backlog, triage, in progress, review, blocked, done, or your own language.

Views for every team

Use Cards, List, tag buckets, and swimlane/status buckets with saved filters for owner, due date, readiness, priority, and agent state.

Roles and permissions

Give admins, members, viewers, and agent identities different access without handing over the whole workspace.

Rules and reminders

Warn when work has no owner, no expected completion date, stale status, missing proof, or unresolved approval.

Agent boundaries

Control which tools agents can use, when humans must approve, and which actions require proof before acceptance.

Commercial controls

Manage plans, run limits, API access, exports, audit history, billing signals, and enterprise admin controls from the same product.

Real product screens

See the app buyers and admins actually use after signup.

The generated media tells the story, but these are captured from the authenticated product: the planner, list and tag views, ready work queues, the admin control center, remote MCP setup, and operational diagnostics.

Open the actual app

Actual app screen

Planner command center

A new workspace starts with the user, admin, and agent paths visible: simple task capture, operating-model setup, and safe agent handoff.

Actual buildr-plannr task list view showing selectable tasks, statuses, custom fields, tags, due dates, and time estimates.

Actual app screen

Task list with dates, tags, and time

Users can keep the first task flow simple: owner-visible rows with status, custom fields, tags, expected completion date, and logged-versus-estimated time.

Actual buildr-plannr tag bucket view showing tasks grouped under backend, billing, frontend, and QA labels.

Actual app screen

Buckets of tagged work

Teams that do not want heavy process can work from tag buckets first, then add saved views, custom swimlanes, and agent controls only where needed.

Actual buildr-plannr ready work queue view showing swimlane controls, readiness filter, execution preflight, and blocked agent handoff gates.

Actual app screen

Ready work queue with execution preflight

When a task is ready for an AI agent, the queue checks the brief, files, allowed actions, blockers, quota, and proof before work starts.

Actual buildr-plannr workspace settings screen showing the workspace settings map and admin operating model controls.

Actual app screen

Admin control center

Admins get one place for operating model, launch control, workspace rules, role access, agent permissions, API keys, MCP clients, and integrations.

Actual app screen

Remote MCP connection center

Codex, Claude Code, Cursor, Cowork, and generic MCP clients get endpoint setup, read-only smoke calls, launch proof, reminders, and write gates before production mutations.

Actual buildr-plannr admin diagnostics screen showing operational health, runtime checks, Cognito warnings, Stripe warnings, and on-call runbook cards.

Actual app screen

Operational diagnostics

Owners and admins can see app health, configuration warnings, runtime state, task counts, and support runbooks without leaving the product.

Actual product media

Show the real app, then the complete workflow story.

The primary video is assembled from authenticated product screens. The supporting media then explains the broader workflow: human planning, issue movement, agent handoff, governance, proof, migration, billing, and operations.

Actual video + images

Actual app walkthrough

Seven real screens in one short tour

A short walkthrough built from real authenticated product screens: planner command center, list view, tag buckets, agent queue, admin controls, remote MCP setup, and diagnostics.

Issues, priorities, labels, statuses, comments, blockers, and duplicate detection
Programs, projects, milestones, cycles, dependencies, risk, health, and roadmap views
Agent task briefs, trusted files, scoped docs, allowed actions, and sandbox policy
Human approval gates, run quota, run replay, recovery, outcome evidence, and acceptance checks
Linear/CSV-style imports, dry-run diffs, exports, bulk updates, API keys, and automation endpoints
Cognito authentication, secured app routes, Stripe plans, billing portal, entitlements, admin diagnostics, and status pages

Dark product interface showing issue columns, a selected issue detail panel, priority labels, and a comment thread.

Issue tracking

Create, prioritize, move, and discuss work

Showcases issue creation, status movement, priority, labels, stage columns, comments, and blocker visibility.

Create issuesMove stagesCommentsLabels

Product planning dashboard with programs, project milestones, dependency lines, cycle health, and roadmap timeline widgets.

Planning model

Programs, projects, milestones, cycles, and roadmaps

Positions buildr-plannr as the structured workspace for project hierarchy, cycle planning, dependencies, risks, and roadmap views.

ProjectsMilestonesCyclesRoadmaps

Agent handoff

Clear task briefs and trusted files before execution

Shows how a human turns intent into safe agent work with scope, non-goals, constraints, files, docs, allowed actions, and verification commands.

Clear briefsFiles and docsSandboxCommands

Review surface with approval gates, evidence cards, test results, screenshots, replay timeline, and residual risk summary.

Governance

Approvals, evidence, replay, and acceptance

Explains the human control loop: approval gates, run replay, outcome evidence, residual risk, and acceptance criteria before Done.

ApprovalsEvidenceReplayAcceptance

Import and automation dashboard with dry-run diff, duplicate detection, bulk update queue, API key panel, and export history.

Migration and API

Import, export, bulk update, API keys, and automations

Highlights migration support, dry-run diffs, duplicate detection, bulk edits, API keys, and safe automation endpoints.

ImportExportBulk editAPI

Admin and billing dashboard showing Cognito-secured access, Stripe plan limits, diagnostics, security posture, and status monitors.

SaaS operations

Cognito auth, Stripe billing, plan limits, and admin diagnostics

Covers the commercial and operational surface: secured app access, subscriptions, plan entitlements, admin diagnostics, security posture, and status monitoring.

CognitoStripeLimitsAdmin

Built for flexible planning and safe automation

The controls teams expect from a modern planning system.

Use it as a straightforward task tracker, then add approval rules, proof, and MCP access when agent work becomes part of the delivery system.

Flexible task tracking

Use a lightweight bucket of tagged work or a stricter workflow with custom swimlanes, due dates, priorities, comments, and proof.

Files and docs for agents

Generate Markdown or JSON bundles with dependencies, linked docs, activity, repo hints, and environment notes.

Readiness queues

Separate ready work from missing-context, blocked, needs-decision, needs-credentials, and verification states.

Human approval gates

Require review for sensitive agent actions such as live task edits, exports, dependency changes, and scheduled runs.

Verification proof

Require commands, tests, screenshots, logs, PR links, coverage deltas, and residual risks before accepting completed work.

Scoped agent access

Use named agents, scoped tokens, metered runs, audit trails, and tiered limits to keep automation controlled.

Remote MCP for coding tools

Expose ready work, scoped task creation, files and docs, status updates, comments, time logging, proof, and approvals to MCP-capable clients.

Fast path to value

From first visit to first safe agent task.

The product should feel obvious before anyone talks to sales: start small, customize the workspace, add work, then decide how much approval and proof each task needs.

Compare plans

Step 1

Create a workspace

Start free, name the workspace, invite teammates, and choose a simple default workflow.

Step 2

Customize the operating model

Rename swimlanes, set permissions, decide reminder rules, and define what Done means before work scales.

Step 3

Add or import work

Use a simple List, Cards, tag buckets, or a safe task brief depending on how much structure each item needs.

Step 4

Let humans and agents execute

Humans keep control of decisions and approvals while agents receive scoped tasks and return proof.

Licence confidence

Common purchase blockers are answered before checkout.

Buyers can prove value, migration safety, checkout timing, and security review paths before committing to a paid plan.

Review pricing

Can I try it before paying?

Yes. Start free, create or import one real task, and confirm the workflow fits before checkout.

Start free

Will checkout happen before I understand the limits?

No. Plan selection is preserved during signup, but Stripe checkout starts from the secured billing screen after the workspace exists.

Billing guide

What can stop purchase today?

Production signup must prove clean, /health must show safe auth health for the release, checkout must be configured, and required admin review must be complete before paid purchase opens.

Verify billing

Can I move from Jira, Linear, Azure Boards, or CSV?

Yes. Imports start with dry-run previews, mapping rules, validation errors, rollback proof, and export paths before data is committed.

Migration guide

Can security, legal, and procurement review this?

Yes. Public trust material covers security posture, DPA, subprocessors, privacy, support, enterprise review, and agent boundaries.

Security whitepaper

Ready to try the planning system built for human and agent work?

Start with a free workspace or open the quick start to see the first workflow end to end.

Start free Open quick start

The issue tracker built for AI agent delivery.

Start free now; upgrade later from Billing.

Because agents need more than a ticket.

Start free and name the workspace

Create or import one real task

Decide whether it needs agent control

Jira, Azure DevOps, and Linear track work for humans. buildr-plannr prepares work so AI agents can safely execute it.

Six concrete reasons teams buy buildr-plannr.

Clear task briefs

Files and docs for the agent

Allowed actions

Proof before Done

Ready work queue

Agent run controls

Because agents need more than a ticket.

Start free and name the workspace

Create or import one real task

Decide whether it needs agent control

Jira, Linear, and Azure DevOps track the work item. buildr-plannr turns it into an execution handoff.

Watch the actual app before reading the feature list.

First task

Flexible views

Agent control

Choose buildr-plannr when agents need safe work, not just tickets.

Buy buildr-plannr

Pilot it first

Stay with your tracker for now

Prove fit by role before reading the whole page.

I need a simple place for tasks, tags, status, owners, dates, and comments.

I need to control terminology, swimlanes, roles, reminders, and Done rules.

I need Codex, Claude Code, Cursor, or Cowork to pick up safe tasks.

Start light, then add control only where the work needs it.

Start with a bucket of tagged work.

Shape the system around your operating model.

Prepare work that AI agents can safely execute.

Know in sixty seconds whether this fits your team.

Can I start tracking useful work today?

Can I control the system without a setup project?

Can Codex, Claude Code, Cursor, or Cowork execute safely?

Open screenshots, admin controls, feature detail, and workflow proof only when you need more.

It turns human planning into safe agent execution.

Clear task briefs

Files and docs for the agent

Allowed actions

Proof before Done

Ready work queue

Agent run controls

Simple for people. Structured enough for agents.

Start with a simple task list.

Control the workspace from day one.

Send ready work, not vague tickets.

"Fix checkout problems"

One vague ticket becomes a safe agent task brief.

Your terminology, rules, views, and agent boundaries.

Custom workflows

Views for every team

Roles and permissions

Rules and reminders

Agent boundaries

Commercial controls

See the app buyers and admins actually use after signup.

Planner command center

Task list with dates, tags, and time

Buckets of tagged work

Ready work queue with execution preflight

Admin control center

Remote MCP connection center

Operational diagnostics

Show the real app, then the complete workflow story.

Seven real screens in one short tour

Create, prioritize, move, and discuss work

Programs, projects, milestones, cycles, and roadmaps

Clear task briefs and trusted files before execution

Approvals, evidence, replay, and acceptance

Import, export, bulk update, API keys, and automations

Cognito auth, Stripe billing, plan limits, and admin diagnostics

The controls teams expect from a modern planning system.

Flexible task tracking

Files and docs for agents

Readiness queues