Orbit AI

Orbit AI

Orbit AI brings Claude, ChatGPT, Gemini, Grok, Copilot, or any MCP client straight into your Nifty projects to plan, build, and update work

70/100Safe BetFree · from $79/moFreemium

Orbit AI earns its keep if your team already lives in Claude, ChatGPT, or another MCP client and wants those assistants to read and write real project data instead of summarizing pasted text. The MCP angle is genuinely different from how ClickUp or Asana bolt AI onto their own UI. The catch is the price floor: no separate Orbit AI add-on exists, so you are buying Business at $124/mo before the AI turns on.

Verified 3d ago · liveness 70/100 · cite: rightaichoice.com/tools/orbit-ai

Best for
  • Digital agencies running client projects with file proofing and view-only client boards
  • Engineering teams replacing Jira, Confluence, and sprint trackers with one workspace plus AI-driven MCP automation
  • Marketing teams planning campaigns on a shared calendar with proofing for creative sign-off
  • Product teams mapping roadmaps that roll up progress automatically across milestones
Not ideal for
  • Teams that require offline, on-prem, or air-gapped deployment
  • Enterprises that need custom SAML or white labeling below the top tier
  • Users who want a lightweight, single-purpose task app with no AI layer
Visit Website

IntermediateNifty advertises setup in 2 minutes and a free-forever start with no credit card. Realistically: a solo user is running in an afternoon; an agency moving a live client project should budget a few days for importing tasks and configuring forms and proofing; a team adopting Orbit AI should plan extra time to connect its MCP client or AI assistant to Nifty and test what the AI writes back beforeWeb · Mobile · Desktop · APIAPI availableVerified 3d ago
Pricing
Free · from $79/mo
FreemiumFree tier3 plans4 hidden costs
Learning curve
Intermediate
Nifty advertises setup in 2 minutes and a free-forever start with no credit card. Realistically: a solo user is running in an afternoon; an agency moving a live client project should budget a few days for importing tasks and configuring forms and proofing; a team adopting Orbit AI should plan extra time to connect its MCP client or AI assistant to Nifty and test what the AI writes back before
Runs on
WebMobileDesktopAPI
API available · 15 integrations
Who it's for
Engineering lead replacing a Jira + Confluence stackAgency project manager handling client intakeMarketing lead planning a campaign calendar
Live sentiment
Is Orbit AI actually worth it?

We scan live Reddit threads, YouTube comments, X posts, G2 reviews and other communities — and hand you an honest verdict in under a minute.

  • Honest verdict, not marketing
  • Real pros & cons from real users
  • Attributed quotes with receipts
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Skip it if

Skip Orbit AI if you only want AI assistance on a cheap or small-team plan — the AI features are locked to Nifty's $124/mo Business tier, so a five-person team pays the same flat rate as a fifty-person one.

The 30-second take
Biggest gripe

Orbit AI is not on Free or Pro, so any team that wants the AI has to jump straight to Business at $124/mo — that's the real entry price, not $0.

Price reality

Flat-rate pricing favors bigger teams: a 50-person agency on Business at $124/mo pays far less per head than per-seat tools like ClickUp or Asana at comparable headcount. But a 5-person team gets no such discount — $124/mo is $124/mo whether you have 5 people or 50, and Orbit AI never appears on the $0 or $79/mo tiers.

In short

Orbit AI — Orbit AI brings Claude, ChatGPT, Gemini, Grok, Copilot, or any MCP client straight into your Nifty projects to plan, build, and update work. Best for Digital agencies running client projects with file proofing and view-only client boards, Engineering teams replacing Jira, Confluence, and sprint trackers with one workspace plus AI-driven MCP automation, Marketing teams planning campaigns on a shared calendar with proofing for creative sign-off. Free to start; paid plans from $79/mo.

What's new in Orbit AI

Checked today

Across the latest 1 update: 1 launch.

What people actually say about Orbit AI — 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.

18 mentions across 2 sources (Hacker News, Lemmy) · researched Jul 3, 2026.

5% positive95% critical

Average across the 2 sources that answered — each source counts once, not each post.

Recurring strengths
  • +Unifies roadmaps, tasks, docs, chat in one place.
  • +Flat-rate pricing eliminates per-user costs.
  • +AI can auto-create projects from natural language prompts.
  • +Supports multiple views: Kanban, Gantt, Calendar.
  • +Built-in time tracking with Harvest integration.
Recurring frustrations
  • −No real user reviews available to validate claims.
  • −AI features may underdeliver without community feedback.
  • −Potential lock-in due to all-in-one architecture.
  • −Learning curve for teams used to separate tools.
  • −Integration depth with non-Zapier tools unclear.
Patterns worth knowing
Name confusion with unrelated Orbit products
Seen on Hacker News, Lemmy
Lack of direct community discussion about Orbit AI PM tool
Seen on Hacker News, Lemmy
Learning curve
beginnerProductive in ~A few hours
Hidden costs people mention
  • • No hidden costs reported, but flat-rate may require annual commitment.

Viability Score

70/100
Safe Bet

How well maintained and how widely used is Orbit AI? 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

Recent activity
90
Traction
100
Site health
95
User sentiment
5
What the vendor publishes
40

Last calculated: October 2026

How we score →

Key Features

  • Orbit AI project creation from prompts via MCP
  • MCP connection to Claude, ChatGPT, Gemini, Grok, and Copilot
  • Connect any MCP client to Nifty projects
  • AI task prioritization and drafting
  • AI document writing assistance
  • AI-drafted status updates
  • Gantt roadmaps with automatic progress roll-up
  • Kanban, List, Timeline, Calendar, and Swimlane task views
  • Native Google Docs, Sheets, and Slides sync
  • Discussions with one-click video calls
  • File proofing with comment-driven subtask generation
  • Custom forms that auto-route submissions to tasks, docs, or messages
  • Live cross-project reporting dashboards
  • Time tracking with budget tracking
  • Goals tracking and team workload management

About Orbit AI

FreemiumIntermediateAPI availableWeb · Mobile · Desktop · API

Orbit AI is the AI layer baked into Nifty, an all-in-one project management workspace, and it works from inside the AI chat you already use. Connect Nifty's MCP server to Claude, ChatGPT, Gemini, Grok, Copilot, or any MCP client, and the assistant creates projects, tasks, and docs from real project context instead of guessing from a bare prompt. Beyond creating work, Orbit AI plans projects, prioritizes tasks, drafts status updates, and writes documents, so your team spends its time shipping rather than managing trackers. The rest of the platform holds up its end: roadmaps with Gantt progress roll-up, task views across Kanban, List, Timeline, Calendar, and Swimlane, discussions with one-click video calls, docs with native Google Docs sync, intake forms that auto-route into tasks or docs, live cross-project dashboards, goals, time and budget tracking, team workloads, and automatic check-ins. Nifty also ships desktop and mobile apps plus an Open API, and it markets itself as replacing Jira, Confluence, Trello, and Asana. Pricing is flat-rate with no per-user fees. Free runs unlimited members, 100 MB storage, and 2 active projects; Pro is $79/mo for 10 members, 500 GB, and 100 projects; Business is $124/mo for 30 members, 1 TB, and unlimited projects. Orbit AI sits at the Business tier or above, so the AI is effectively a paid capability, not a free one. Nifty targets engineering, agency, marketing, product, legal, and client-services teams that want projects and AI in the same place. It is not the pick for teams needing offline or on-prem deployment, or anyone who only wants a lightweight single-purpose task tool.

Behind the Verdict

We'd reach for Orbit AI when the bottleneck isn't scheduling, it's the gap between where the thinking happens and where the work gets tracked. If your PM types instructions into Claude all day and then retypes them into a project tool, Nifty's MCP server closes that loop. Claude, ChatGPT, Gemini, Grok, Copilot, and any MCP client can create projects, tasks, and docs and then update them, working from the live board rather than a prompt you hand-fed it. Where it bites is the tier math. Orbit AI starts at Business, $124/mo for 30 members and 1 TB. A 5-person shop pays the same $124 as a 30-person shop, which is a bargain at 30 seats and a stretch at 5. If you just want AI-assisted task drafting and nothing else, a per-seat tool like ClickUp at the entry tier costs less. If your team has grown past the point where per-seat pricing punishes you, the flat rate flips in your favor fast. The closest alternative is Asana or ClickUp with AI attached. Both write into their own interfaces, not into your chat client, and neither exposes an MCP endpoint that a third-party assistant can drive. That distinction matters for teams standardizing on one AI assistant. Real caveats. Flat-price tiers are capped by member count, so verify the headcount band before you commit. The homepage lists desktop and mobile apps, an Open API, and an integrations hub, but I'd check the specific tool you rely on against the live integrations page before migrating. Pick Nifty when you want a single workspace for engineering, agency, and client work, with AI reading the same source of truth. Pass when you need offline, on-prem, or air-gapped deployment, or when your AI appetite is occasional and Bloat is a dealbreaker.

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Real-world workflow fit

Concrete scenarios for the personas Orbit AI actually fits — and what changes day-one when you adopt it.

Engineering lead replacing a Jira + Confluence stack

You connect Nifty to Claude over MCP, ask it to draft a sprint backlog from the current roadmap, then review the created tasks in Kanban and Gantt views while milestone progress rolls up automatically.

Outcome: Backlog and milestone tracking live in one workspace, and sprint status stops depending on manual updates or a weekly status meeting.

Agency project manager handling client intake

A client submits a Nifty form, the submission auto-routes into a task and a doc, and Orbit AI drafts the kickoff document while the client gets portal access as an unlimited guest.

Outcome: Intake, documentation, and client visibility happen in one place, and proofing comments on creative work generate subtasks automatically.

Marketing lead planning a campaign calendar

You build the campaign on the unified calendar, share docs created natively as Google Docs from inside Nifty, and use file proofing to collect comments that turn into revision subtasks.

Outcome: Campaign planning, document collaboration, and approval feedback stay tied to the same project instead of scattering across email and chat.

Use Cases

Models Under the Hood

ClaudeChatGPTGeminiGrokCopilot

as of 2026-09-24

Limitations

  • Free plan is capped at 2 active projects and 100 MB storage.
  • Orbit AI is not available on Free or Pro — it needs Business at $124/mo.
  • Time tracking, custom fields, budget tracking, workflow automations, file proofing, goals, workloads, custom roles, automatic check-ins, and native forms all require a paid plan (Pro or Business).
  • No offline mode; full functionality requires internet connectivity.
  • White labeling and custom SAML are not on the lower tiers.

as of 2026-09-14

Verification history

We have re-verified Orbit AI 9 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.

  1. — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
  2. — re-checked, vendor evidence unchanged
  3. — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
  4. — re-checked, vendor evidence unchanged
  5. — re-checked, vendor evidence unchanged
  6. — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it

Showing the 6 most recent of 9 verification passes.

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.

Annual total
Free
Over 12 months
Effective monthly
Free
Billed monthly

Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.

Plans compared

For each published Orbit AI 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/mo

Ideal for

A small team trialing Nifty on a single live project before committing to a paid tier

What this tier adds

Free entry point: unlimited team members but only 2 active projects, 100 MB storage, and no Orbit AI, time tracking, or automations

Pro

$79/mo

Ideal for

A 5-20 person team that needs real project tracking, time tracking, and reporting but not AI features yet

What this tier adds

Adds 20 members, 500 GB, 100 active projects, unlimited guests, plus time tracking and reporting, custom fields, budget tracking, workflow automations, file proofing, and cross-project overviews — still no Orbit AI

Business

$124/mo

Ideal for

A 20-50 person agency or engineering org that wants AI agents working from real project context

What this tier adds

Adds 50 members, 1 TB, unlimited projects, goals tracking, team workloads, custom roles and permissions, automatic check-ins, native forms, and Orbit AI access

Hidden costs & gotchas

What the public pricing page doesn't put in bold. Captured from pricing-page footnotes, contract terms, and recurring complaints.

  • Orbit AI is not on Free or Pro, so any team that wants the AI has to jump straight to Business at $124/mo — that's the real entry price, not $0.
  • The Free plan stops at 2 active projects and 100 MB storage, so it works as a trial but not as a production workspace for a real team.
  • Pro caps you at 20 members and 100 active projects; going past either means moving up to Business rather than adding seats.
  • Business caps at 50 members and 1 TB storage, so larger organizations hit a ceiling that flat-rate pricing doesn't advertise up front.

Where the pricing makes sense

The company stage and team size where Orbit AI's pricing actually pencils out — and where peers do it cheaper.

Flat-rate pricing favors bigger teams: a 50-person agency on Business at $124/mo pays far less per head than per-seat tools like ClickUp or Asana at comparable headcount. But a 5-person team gets no such discount — $124/mo is $124/mo whether you have 5 people or 50, and Orbit AI never appears on the $0 or $79/mo tiers.

Setup time & first value

How long it actually takes to get something useful out of Orbit AI — broken out by persona, not the marketing-page minute.

Nifty advertises setup in 2 minutes and a free-forever start with no credit card. Realistically: a solo user is running in an afternoon; an agency moving a live client project should budget a few days for importing tasks and configuring forms and proofing; a team adopting Orbit AI should plan extra time to connect its MCP client or AI assistant to Nifty and test what the AI writes back before

Switching to or from Orbit AI

How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.

Migrating in
  • →From Jira: rebuild backlogs as Nifty tasks and map sprints onto milestone tracking in the Gantt roadmap.
  • →From Confluence: move wikis and specs into Nifty docs, or keep them as Google Docs synced natively through Drive.
  • →From Trello: convert boards into Nifty task views, then choose Kanban, List, Timeline, Calendar, or Swimlane layout per team.
  • →From spreadsheets and Slack threads: replace status tracking with live dashboards and automatic check-ins.
Migrating out
  • ↗To Jira: export Nifty tasks and rebuild backlogs and sprints, then recreate roadmap milestones as Jira epics.
  • ↗To Asana or ClickUp: export task lists and rebuild views, accepting that native Google Docs sync and the Orbit AI MCP connection do not carry over.
  • ↗To a Google-Docs-first stack: your synced Google Docs and Drive files stay in Google, but discussions, forms, and reporting must be rebuilt elsewhere.

Integrations

Google DriveGoogle DocsGoogle CalendarMicrosoft Office 365SlackGitHubHarvestZoomWebexZapierMiroTypeformClaudeChatGPTGemini

Resources & Guides

Tutorials & Learning

YouTube returned 6 videos for “Orbit AI”, and we withheld 6: 6 could not be judged, because “Orbit AI” is a single word that other videos use for other things. We are showing none, because we could not prove any of them are about Orbit AI.

Official links

Tools that pair well with Orbit AI

Common stack mates teams adopt alongside Orbit AI, with the specific reason each pairing earns its keep.

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Frequently Asked Questions

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