Luna
AI project manager linking strategy—OKRs, roadmaps—to Jira execution with automated updates and risk flags.
For Jira-dependent teams drowning in status reporting, Luna delivers genuine ROI—AI-written digests and early risk flags alone justify the price. But if you're not fully on Jira, skip it; the core value is tied to that integration. Start with the free tier and upgrade when you need unlimited roadmaps.
Verified 7d ago · liveness 71/100 · cite: rightaichoice.com/tools/luna
- Jira-centric product and engineering teams needing strategy-to-execution alignment
- Product managers spending 6-8 hours weekly on status reporting and seeking to automate it
- Cross-functional launch teams wanting a single source of truth for milestones and risks
- Engineering leaders needing early warning on blockers and scope creep
- Teams not using Jira as their primary task tracker
- Organizations with strict on-premise deployment requirements
- Small teams that just need a simple to-do list
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Skip Luna if your team doesn't rely on Jira for execution tracking, needs on-premise deployment, or if you're a small team that just wants a simple to-do list without AI-driven strategy features.
The Free tier caps at 3 makers and 3 custom roadmap views—upgrading to Launch costs $39-$49 per maker per month.
Luna's freemium model fits Jira-centric product teams. Free covers 3 makers for trying OKRs and AI summaries. Launch at $39-$49 per maker/mo suits growing teams wanting unlimited roadmaps and automation—cheaper than custom PM tools but pricier than basic roadmap tools. Enterprise at $15 per maker/mo adds support and customization for larger orgs.
In short
Luna — AI project manager linking strategy—OKRs, roadmaps—to Jira execution with automated updates and risk flags. Best for Jira-centric product and engineering teams needing strategy-to-execution alignment, Product managers spending 6-8 hours weekly on status reporting and seeking to automate it, Cross-functional launch teams wanting a single source of truth for milestones and risks. Free to start; paid plans from $15/mo.
What people actually say about Luna — is it worth it?
We ran a structured research pass across product reviews, community discussions, and post-purchase forum threads to surface the patterns vendors won't publish themselves. Below: the recurring strengths, the hidden costs people mention most, and the cohort that consistently regrets adopting this tool.
61 mentions across 3 sources (Hacker News, App Store, Lemmy) · researched Jul 3, 2026.
- +Promises 6-8 hours weekly saved per PM via AI automation.
- +Automatically links Jira issues to OKRs and roadmaps.
- +Identifies blocked dependencies, scope creep, and misalignment early.
- +Generates AI-written weekly updates and executive summaries.
- +Offers customizable roadmap views: table, timeline, Kanban.
- −No genuine user reviews available for the actual product.
- −Name confusion with OpenAI model tiers and Amazon Luna.
- −App Store feedback is for Amazon Luna gaming, not AI PM tool.
- −Overly broad feature list without community validation.
- −Requires Jira and Slack dependency to function effectively.
- • No publicly known hidden costs, but free tier may limit AI features
Viability Score
How well maintained and how widely used is Luna? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: August 2026
How we score →Key Features
- AI-generated OKRs and roadmaps from product ideas (TUYP)
- Automated risk identification: blocked dependencies, scope creep, stalled work
- AI-written weekly digests delivered via email, Slack, or Google Docs
- Custom roadmap views: table, timeline, Kanban
- Public roadmap sharing for external stakeholders
- Team capacity and workload modeling
- Launch management with milestones, approvals, documents, and risks
- 2-way Jira integration with customizable field mapping
- Slack integration for updates and launch creation
- Automated stakeholder notifications for key changes
- AI classifier from meeting docs and Slack (RAG) to extract key data
- Milestone center with custom views and approval flows
- Push milestones to Jira or Asana
- CSV export for advanced analytics
- LunaVista (beta) early access
About Luna
Luna AI is an AI project manager designed for product and engineering teams that live in Jira. It closes the gap between strategic planning and daily execution by connecting your OKRs, roadmaps, and launch initiatives directly to the work in Jira. The platform automatically tracks progress, flags risks early, and drafts weekly digests, executive summaries, and status updates from live Jira and Slack data. This frees product managers from 6-8 hours of manual status reporting every week, giving leadership continuous visibility without extra meetings. Luna goes beyond generic PM tools by reading signals from Jira and Slack to identify blocked dependencies, scope creep, stalled work, and misalignment before they become problems. Roadmaps are customizable per stakeholder—table, timeline, or Kanban—and can be shared publicly or privately. The Launch module provides a dedicated space for tracking milestones, approvals, documents, risks, and decisions across an entire initiative, with 2-way sync that pushes milestones to Jira and Asana. Recent updates underscore Luna's push into AI-driven planning. TUYP (Try Your Update? Actually, TUYP converts raw product ideas into Jira tickets, OKRs, and roadmaps in minutes. Team capacity and workload modeling helps PMs allocate resources before overcommitting, and a contextual RAG system extracts and classifies data from meeting notes and Slack threads, notifying stakeholders about key changes automatically. LunaVista (beta) is available for early access, bringing even more AI-powered insight. Positioned against competitors like Asana and ClickUp, Luna is uniquely Jira-native. It assumes your team works in Jira and adds a strategic layer on top, rather than trying to replace your existing workflow. For Jira-centric teams, this is a powerful way to keep executives aligned and launches on track. If you are not on Jira, however, the core value evaporates quickly. Start with the free tier to see if Luna's approach fits your team.
Behind the Verdict
We've seen a lot of 'AI PM' tools that just repackage tasks, but Luna is different: it's built for teams that already run on Jira and need a strategy-to-execution bridge. The biggest payoff is the AI-generated weekly digests and executive summaries that pull from live Jira and Slack data. If you're a PM spending six to eight hours a week cutting and pasting status updates, this tool pays for itself quickly. That said, Luna's value is directly proportional to your Jira addiction. If your team uses Asana or ClickUp as the primary tracker, Luna's core risk-detection and reporting features won't work as well—even though it integrates with them, the native Jira signals are what make the AI truly useful. The free tier is a smart way to test the waters: three makers and three custom roadmap views is enough to see if the digests and risk flags actually save you time. When should you pass? If you're not using Jira at all, or if you want a simple to-do list, Luna is overkill. Also, if your team is allergic to AI-generated planning (some PMs just won't trust a machine to write OKRs), the TUYP feature and AI summaries might create more friction than they remove. In practice, we'd recommend Luna for product managers and engineering leads who want early warnings on blockers and need to keep executives informed without constant status meetings. Compared to a tool like Asana or ClickUp, Luna doesn't try to be an all-in-one project manager. It's a layer that sits on top of your existing Jira workflow. That's both a strength and a limitation: it means less disruption, but you'll still need Jira for day-to-day task management. For launch-heavy teams, the Launch module with milestones and approval flows is a differentiator—it gives cross-functional teams a single source of truth for
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Real-world workflow fit
Concrete scenarios for the personas Luna actually fits — and what changes day-one when you adopt it.
Connect Jira and Slack in minutes, then use TUYP to convert a rough idea into Jira tickets, OKRs, and a roadmap.
Outcome: Draft strategy and track it against live Jira execution automatically, with AI-written weekly digests for leadership.
Set up Luna to monitor epics and flag blocked dependencies or scope creep in Jira.
Outcome: Get early warnings on delivery risks and allocate team capacity proactively using workload modeling.
Create a launch in Luna, define milestones with approval flows, and sync them to Jira issues.
Outcome: Track documents, risks, updates, and decisions in one place, with stakeholders notified automatically via Slack or email.
Use Cases
- Automate weekly status reports for product leadership using real Jira and Slack data.
- Create and track OKRs linked to Jira epics to measure strategic progress.
- Identify blocked dependencies and scope creep in Jira before they cause delays.
- Generate executive summaries of launch progress with AI-written risk assessments.
- Build custom roadmap views for different stakeholders without manual updates.
- Sync milestones and launches bidirectionally with Jira to keep everyone aligned.
Models Under the Hood
as of 2026-08-21
Limitations
- The Free tier limits to 3 makers and 3 custom roadmap views; paid tiers offer unlimited makers and views.
- AI capabilities rely on clean Jira data; messy Jira projects may yield less accurate insights.
- The tool is cloud-based with no on-premise deployment mentioned.
as of 2026-08-11
Verification history
We have re-verified Luna 6 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
Free to cite with attribution — this page re-verifies continuously.
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Plans compared
For each published Luna tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
Free
$0/maker/mo
Ideal for
Small product teams (up to 3 makers) exploring AI-driven OKRs and roadmap alignment without cost.
What this tier adds
Starting tier: 3 makers, 3 custom roadmap views, Jira/Slack integrations, and essential launch modules.
Launch
$39/maker/mo (yearly) or $49/maker/mo (monthly)
Ideal for
Growing product and engineering teams needing unlimited makers, automation, and advanced analytics.
What this tier adds
Adds unlimited makers and roadmap views, automated workflows, CSV export, and public/custom templates.
Enterprise
$15/maker/mo
Ideal for
Large organizations requiring onboarding, custom contracts, and dedicated support for critical launches.
What this tier adds
Adds onboarding, training, custom contract/invoicing, product advisory, and 24/7 support.
Where the pricing makes sense
The company stage and team size where Luna's pricing actually pencils out — and where peers do it cheaper.
Luna's freemium model fits Jira-centric product teams. Free covers 3 makers for trying OKRs and AI summaries. Launch at $39-$49 per maker/mo suits growing teams wanting unlimited roadmaps and automation—cheaper than custom PM tools but pricier than basic roadmap tools. Enterprise at $15 per maker/mo adds support and customization for larger orgs.
Setup time & first value
How long it actually takes to get something useful out of Luna — broken out by persona, not the marketing-page minute.
For a PM: connect Jira and Slack in about 10 minutes—you'll see your first AI insights immediately. For an engineering lead: add epics and enable risk flags within the first session. For a launch coordinator: create a launch and set milestones in under 30 minutes, with 2-way sync to Jira.
Switching to or from Luna
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From Jira alone: connect your Jira instance and add OKRs or roadmaps on top, without moving existing projects.
- ↗To Google Sheets or Excel: use CSV export (Launch tier) to extract roadmap and launch data.
Integrations
Resources & Guides
Tutorials & Learning
Official links
Tools that pair well with Luna
Common stack mates teams adopt alongside Luna, with the specific reason each pairing earns its keep.
Featured Head-to-Head Comparisons
Luna vs Gem
If you're a recruiter or talent acquisition team looking for an all-in-one AI-powered ATS/CRM with sourcing, screening, and fraud detection, Gem is the clear choice. For product and engineering teams already on Jira who want to automate OKRs, risk tracking, and stakeholder updates, Luna is the winner. They serve entirely different workflows — choose based on your role, not price.
Luna vs Guesty
Luna and Guesty serve entirely different domains, so your choice depends on your industry. If you manage product development with Jira and want AI to bridge strategy to execution, Luna is the clear pick. If you run vacation rentals and need AI to automate guest comms, multi-channel distribution, and reconciliation, Guesty wins. There's no overlap—buy the one that matches your business.
Luna vs Poke Interaction Co
Luna and Poke serve completely different needs. Luna is a powerful AI PM for Jira-centric teams that replaces manual status reporting with auto-generated OKRs, risks, and digests. Poke is a personal AI assistant living inside messaging apps, ideal for individuals who want to manage email, calendar, and health data from one chat. Buy Luna if you need strategy-to-execution visibility for your engineering team; buy Poke if you want an AI to run your personal tasks on autopilot.
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