First task
Create one real task. Title only is enough.
Open first taskStatic knowledgebase
Ask what to do first, which view to use, how admins should set rules, how agents connect, and when to upgrade. Answers come from curated static articles and deterministic keyword ranking, not an AI model.
Fastest path
Short answers first. Detailed articles stay below for migration, billing, MCP writes, proof, and admin edge cases.
Create one real task. Title only is enough.
Open first taskChoose Cards, List, tag buckets, or swimlanes from the same data.
Open task viewsSet access, starter lanes, reminders, and agent boundaries first.
Open admin setupLet Codex, Claude Code, Cursor, or Cowork read ready work before writes.
Open MCP quickstartStart free. Keep paid checkout paused until production signup proof is clean.
Review pricingUse signup help if provider or AWS signing text appears.
Get signup helpPopular questions
Browse the common path from one simple task to controlled AI work before using the finder for a specific question.
Create one real task, pick the simplest view, and add a date or move it to Blocked when it has none.
Open first taskStart normal task tracking now. Wait on agent writes until scope, files, approvals, quota, and proof are clear.
Open quickstartStart free, prove one real task, then upgrade only when the team has proven value and needs higher limits.
Review pricing pathStart now on Free. Stripe opens later from Billing after email verification; pause paid checkout if signup is unsafe.
Start freePause purchase if signup is unavailable, safe auth health is missing, billing ownership is unclear, or Stripe is not ready.
Open billing guidePause purchase and use signup help. Reopen only after safe auth health is proven and provider smoke leaks no AWS text.
Get signup helpKeep your tracker for human-only work. Pilot buildr-plannr when agents need clear tasks, limits, and proof.
Choose a licenceStart Free if unsure. Use Pro when agents are supervised daily and audit, API, approvals, and proof matter.
Compare plansJira, Azure DevOps, and Linear track human work. buildr-plannr prepares work so AI agents can safely execute it.
Compare positioningChoose the smallest setup that makes today's work clear.
Open setup mode guideYes. Use it as a bucket of tagged tasks with statuses first; add agent controls only when agents execute work.
Start freeAdmins can tune lanes, views, reminders, roles, billing, MCP scopes, and proof rules; start with access and workflow.
Open admin setupPick the closest workflow template, choose the daily view, set reminders and proof rules, then stop until real work needs more.
Open admin setup shortcutUse task health as the fix-first list: Set tomorrow, Move to Blocked, refresh stale tasks, log time, and pause critical agent claims.
Open task healthUse workspace statuses to model your real process: backlog, ready, ready for agent, in progress, needs human input, review, customer validation, done, or any.
Open task workbenchMCP is the connection layer that lets tools such as Codex, Claude Code, Cursor, Cowork, and other compatible clients read buildr-plannr work safely.
Open MCP quickstartUse the remote MCP endpoint at /api/mcp with a scoped agent API token.
Open MCP quick connectBefore moving, claiming, or summarizing tasks, call buildr_plannr.
Open MCP workspace customizationSource-backed comparison
Jira, Azure DevOps, and Linear track work for humans. buildr-plannr prepares work so AI agents can safely execute it. Keep the parts users already understand, then add scope, context, permissions, approvals, quota, MCP access, and proof.
| 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. |
| Competitor signal | Copy this | Beat it with | Admin decision |
|---|---|---|---|
| JiraJira currently emphasizes planning, tracking, collaboration, reporting, boards, lists, timelines, calendars, AI-assisted automations, marketplace integrations, and flexible project controls. | Keep the familiar planning surfaces users expect: boards, lists, timelines, calendars, fields, templates, automation, reports, reminders, and integrations. | Turn each risky task into a safe execution handoff with a clear brief, files and docs, allowed actions, approvals, time signals, and proof before Done. | Admins should be able to start with Jira-like views, then add agent rules only to lanes or task types where risk justifies it. |
| LinearLinear currently emphasizes modern product development from roadmap to release, issue tracking, cycle planning, AI-powered workflows and agents, insights, mobile work, customer requests, and custom views. | Keep fast issue capture, clean status movement, saved views, triage, cycles, customer-impact context, insights, and a focused interface. | Make readiness portable for external agents by adding MCP access, allowed actions, approval gates, run limits, and proof requirements outside one human-only issue view. | Admins should be able to keep Linear-style speed while deciding which work can be claimed by Codex, Claude Code, Cursor, Cowork, or another MCP client. |
| Azure DevOpsAzure Boards currently emphasizes work items, boards, backlogs, sprints, queries, delivery plans, analytics, customization, collaboration history, attachments, notifications, dashboards, traceability, GitHub links, and scale. | Keep traceability through work item history, cards, backlogs, portfolio hierarchy, queries, dashboards, permissions, attachments, source IDs, and cross-team planning context. | Add a lighter execution layer for each agent task: what may change, which checks prove it, when approval is required, and when the agent must stop. | Admins should be able to preserve Azure-style traceability while giving agents a simple, testable handoff instead of a process-heavy work item. |
What it does well
Planning, task breakdown, boards, lists, timelines, calendars, automation, reporting, integrations, and configurable workflows.
Official source signals
Preserve in buildr-plannr
Keep familiar issues, statuses, boards, lists, fields, reports, and workflow customization.
What agents still need
Explicit scope, non-goals, allowed tools, context, approvals, and proof before execution.
Source: Atlassian Jira overviewWhat it does well
Fast product-development flow from roadmap to release, issue tracking, cycle planning, customer requests, insights, and focused execution.
Official source signals
Preserve in buildr-plannr
Keep fast capture, clean status movement, saved views, triage, cycles, and customer-request context.
What agents still need
Ready work queues, allowed actions, proof requirements, and usage limits around agent work.
Source: Linear featuresWhat it does well
Work items, backlogs, boards, sprints, queries, dashboards, security controls, customization, and scale for engineering teams.
Official source signals
Preserve in buildr-plannr
Keep backlogs, work item history, queries, dashboards, permissions, and migration source IDs.
What agents still need
A lightweight handoff layer that says what agents may do, where, with which checks, and when to stop.
Source: Azure Boards docsKnowledgebase
This finder uses curated static answers and keyword matching only. It does not send questions to an AI model, so teams can rely on repeatable onboarding guidance.
Pick the closest path
Users
Admins
Buyers
Agent operators
Guide
Create one real task, pick the simplest view, and add a date or move it to Blocked when it has none.
Do this next
Do one useful task before configuring everything. Fastest path: create or import one real task with a title, let buildr-plannr place it on the board, then choose the simplest view. Add an expected date when delivery matters; if there is no date yet, move it to Blocked and add the reason after the task is visible. Customize workspace rules later, and leave agent queues, files and docs for agents, and proof rules until a real task needs AI-agent execution.
Guide
Jira, Azure DevOps, and Linear track human work. buildr-plannr prepares work so AI agents can safely execute it.
Do this next
Jira, Azure DevOps, and Linear track work for humans. buildr-plannr prepares work so AI agents can safely execute it. Choose buildr-plannr when agents need clear task briefs, the right files and docs, allowed actions, approvals, proof before Done, readiness queues, and commercial controls for agent runs.
Guide
Start normal task tracking now. Wait on agent writes until scope, files, approvals, quota, and proof are clear.
Do this next
Start normal task tracking now. Users can create one task, choose Cards, List, tag buckets, or swimlanes, and add a date or blocker. Admins can set access, starter lanes, reminders, and a support owner. Agent writes should wait until the task has scope, files and docs, allowed actions, approvals, quota, and proof before Done.
Guide
Keep your tracker for human-only work. Pilot buildr-plannr when agents need clear tasks, limits, and proof.
Do this next
Buy buildr-plannr when AI agents will execute real work and the team needs safe handoff, not just another issue list. Keep Jira, Linear, or Azure DevOps as the source tracker if all work stays human-only. Pilot buildr-plannr when one task needs a clear brief, files and docs, allowed actions, proof before Done, an agent queue, or commercial controls around agent runs.
The knowledgebase is designed for repeatable onboarding: the same question returns the same curated guidance, and article links point back to product guides or the workbench.