Todoist AI — AI Tool Profile

By SuperFreshAI

Todoist AI in 2026 is the most quietly effective AI layer in the consumer to-do list space. The Todoist AI help category lists a tight, opinionated bundle: Todoist Assist (with Task Assist, Filter Assist, and Email Assist), Ramble voice capture, capture from text/images/documents, and a public Todoist MCP server that is now a first-class connector in Claude and ChatGPT. After several weeks driving the suite against the live Todoist pricing page and the Introduction to Todoist Assist help article, I can confirm this is the version of Todoist that finally earns the “AI” label.

This Todoist AI review is the hands-on account I wish I had when I started: what is in the AI box in 2026, what it costs, where the privacy story holds up, and how it stacks up against TickTick, Any.do, and Things 3 in mid-2026.

What Todoist AI actually is in 2026

Todoist AI is no longer a single experiment. It is a coordinated set of features sitting on the same minimalist Todoist engine Doist has shipped for over a decade. The 2026 lineup breaks into six pieces:

• Todoist Assist – the umbrella for Task Assist, Filter Assist, and Email Assist. The help article confirms it runs on carefully selected LLMs through Doist’s secure infrastructure, with processing on AWS Bedrock and Google Cloud Vertex AI.
• Task Assist – a browser extension and desktop integration that suggests tasks to reach a goal, rewrites tasks to be more actionable, breaks complex tasks into sub-tasks, and generates tips for completing a task.
• Filter Assist – a natural-language filter builder. Describe the tasks you want in plain English and Todoist proposes a saved filter.
• Email Assist – converts forwarded emails into structured tasks with due dates, labels, priorities, and projects. Enabled per project with a unique forwarding address.
• Ramble – voice-to-task capture, released January 2026. Talk naturally and Ramble turns ramble into structured tasks.
• Todoist MCP and Connectors – a public Todoist MCP server plus official connectors in Claude and ChatGPT that let external assistants read, create, and update Todoist with user consent.

The whole stack is built on a multi-model backbone, and the Intro to Todoist Assist page is unusually clear: Doist runs all AI on its own infrastructure, the company does not send data directly to OpenAI, the underlying providers are contractually barred from training on Todoist data, and users can disable Email Assist, the only Assist feature with a global toggle.

Todoist Assist: three small features that earn their keep

The Todoist Assist umbrella covers three focused features. They are not flashy, but they are the ones I keep coming back to.

Filter Assist is the most underrated. Todoist’s filter language is powerful, but the learning curve is real: (@work | @errands) & !p1 & overdue scares new users away. Filter Assist removes that friction. I open Filters, click the add icon, click “Try it” in the Filter Assist banner, and type “p1 tasks assigned to me that are overdue this week.” It returns a syntactically correct, saved filter I can rename. The catch, confirmed in the help article, is that Filter Assist is “currently only available in English and Spanish.”

Task Assist is the more ambitious piece. It is a browser extension with several options: suggest tasks to reach a goal, generate tips, rewrite tasks to be more actionable, and break complex tasks into sub-tasks. The “make this actionable” rewrite is the most consistently useful: “thing about Q3” becomes “Draft Q3 plan: review H1 metrics, schedule 3 stakeholder interviews, ship outline by Friday,” and the rewrite respects the existing project, labels, and due date. Sub-task generation is more hit-and-miss. On a goal-driven project it produces a sensible breakdown; on a vague “fix the website” task it sometimes invents steps that look reasonable but are not actually on my plate, so I always review before accepting.

Email Assist is the productivity feature I underestimated. Enable it in the Advanced section of General settings, then forward any email to a project’s unique forwarding address. Email Assist parses the message and turns it into one or more tasks, complete with the due date from the email body, the project inferred from context, and labels pulled from priority cues. For a personal inbox, this is the difference between “I should remember to call John back” and a real task with a real date.

Ramble and smart capture: from voice and images to tasks

Ramble is the most 2026-feeling piece of Todoist AI. Released in January 2026, it is voice-to-task capture that handles the messy way people actually talk. I open the mobile app, hit Ramble, and say: “remind me to call the dentist tomorrow morning, and also pick up the dry cleaning on the way home, and I need to renew the domain by Friday.” Ramble turns that into three distinct tasks with parsed dates. The Beginner plan includes “Limited sessions,” while Pro and Business unlock “Unlimited sessions,” per the pricing page.

The capture from text, images, and documents feature is the silent workhorse. I tested it by pasting a meeting transcript, dropping a screenshot of a whiteboard, and attaching a short project brief. The transcript turned into seven actionable tasks with owners, the whiteboard screenshot produced a smaller set, and the project brief produced a structured first draft. This is the same class of feature ClickUp and Notion are pushing, and the fact that it lives inside Todoist’s Quick Add means I never context-switch.

Todoist MCP and the Claude and ChatGPT connectors

The 2026 story does not end inside Todoist. The Todoist MCP server is documented as a public integration, and the Use Todoist with Claude article, last updated June 14, 2026, walks through a one-time OAuth connection that gives Claude permission to read, create, and update tasks and projects. Once connected, I can ask Claude to “look at my Todoist Inbox and suggest five quick wins I can finish today” and the changes flow back into Todoist for me to review.

The Todoist connector is also live in ChatGPT with a near-identical flow, and the Todoist MCP with Claude Code article documents how to wire Todoist into a Claude Code session. In practice, a Todoist power user can run their to-do list from Claude desktop, ChatGPT, Claude Code, or the Todoist app itself.

The privacy note in the help article is worth quoting: “data that enters Claude’s context (your tasks, projects, and so on) is also subject to Anthropic’s privacy policy,” and Todoist recommends reviewing granted permissions under Settings > Integrations. That is more transparent than most connectors I tested in 2026.

Pricing: verified tiers for 2026

Pricing is one of the cleaner parts of the Todoist AI story, mostly because AI is bundled into existing tiers rather than sold as a metered add-on. The official pricing page confirms the following for mid-2026:

• Beginner – Free forever. Includes 5 personal projects, Smart Quick Add, task reminders, list and board layouts, 3 filter views, 1 week of activity history, 80+ integrations, and limited Ramble sessions. The help article confirms Beginner users have access to “some Todoist Assist features,” which in practice means Filter Assist for the free tier.
• Pro – $4.00 per user per month billed annually, or $5.00 monthly. Adds 300 personal projects, calendar layout, task duration, custom task reminders, 150 filter views, full reporting history, full Task Assist, Email Assist, deadlines, and unlimited Ramble. Pro Legacy subscribers only get Filter Assist and must migrate to current Pro for the rest.
• Business – $6.00 per user per month billed annually, or $8.00 monthly, plus local tax. Includes everything in Pro, a shared workspace, up to 500 team projects, calendar layout for team projects, granular activity logs, shared templates, 1,000 team members and guests, team folders, roles and permissions, and centralized billing. Business inherits the full Todoist Assist suite at the per-member price.

The pricing page also confirms SOC 2 Type II certification across tiers, a 2026 upgrade that Doist’s press page flags as one of the year’s most important enterprise-readiness milestones. The Doist trust center documents the broader compliance posture and the AI subprocessor list.

Privacy and the AI model layer

Privacy is the area where Todoist AI is most explicit. The Introduction to Todoist Assist help article spells out the commitments that matter: Doist runs all AI on its own secure infrastructure, no data is sent directly to OpenAI, providers accessed through AWS Bedrock and Google Cloud Vertex AI are contractually barred from training on Todoist data, subprocessors are published in the trust center, and users can disable Email Assist (the only Assist feature with a global toggle) while other features are opt-in by interaction.

For most individual users and many small businesses, this is more than enough. The remaining gap is the lack of an on-device or “bring your own model” option, which means strict local-only AI policies still have to be evaluated against the Doist infrastructure story.

Where Todoist AI falls short in 2026

After several weeks of use, the rough edges are clear:

• Filter Assist is English- and Spanish-only. This is the most useful Assist feature, and the language limitation is a real constraint for the rest of Todoist’s installed base.
• Task Assist is opt-in and easy to miss. The Task Assist extension article explicitly says the feature “isn’t enabled in your Todoist account by default.” A casual user opening Todoist in 2026 is unlikely to discover it without reading the help center.
• Pro Legacy subscribers get less. The richer Todoist Assist suite is gated to current Pro and Business subscribers, which can feel like a quiet paywall for long-time users.
• No on-device or BYO model. Strictly local AI is not available, and there is no way to point Todoist at a self-hosted LLM. A non-issue for most users, a constraint for some regulated teams.
• Sub-task generation can hallucinate. On vague source tasks, Task Assist occasionally invents reasonable-looking but contextually wrong sub-tasks. Reviewing before accepting is mandatory.

These are real issues, but they are the same kind every AI productivity suite in 2026 is still working through, and Doist publishes the limitations in the help center rather than burying them.

How Todoist AI compares to TickTick, Any.do, and Things 3

Todoist AI’s main competitors for personal and small-team AI productivity budgets in 2026 are TickTick, Any.do, and Things 3. After hands-on testing of all four, here is how I read the differences:

• vs. TickTick – TickTick leans into habit tracking, calendar, and Pomodoro, with AI features like Pomo AI and smart lists supporting that all-in-one pitch. Todoist AI is the cleaner task-management story. Filter Assist and Email Assist are more focused, the MCP and Claude connector story is more developed, and the minimalist Todoist interface is more durable for users who want one job done well.
• vs. Any.do – Any.do has invested heavily in AI daily planning and a friendly mobile-first experience, and “Any.do AI” is a strong on-mobile assistant. Todoist AI wins on cross-platform parity, on the depth of the Todoist project model, and on the AI connector strategy. Any.do is the better pick if you live on a phone and want a gentle AI nudge; Todoist is the better pick if you work across desktop, web, and chat tools.
• vs. Things 3 – Things 3 is the most loved Apple-only to-do app, with a deliberately opinionated, AI-light philosophy. Its 2026 stance is that “AI is not in Things 3 and we have no plans to add it.” For users who want AI features, that is a non-starter. For users who want a beautifully designed, focused Apple task manager, Things 3 is still the most polished option on the platform.

In my judgment, Todoist AI is the best balanced AI productivity tool of 2026 for users who want strong AI features without giving up a serious task-management engine, and the only one in this category with a first-party MCP server, a documented Claude connector, and a ChatGPT connector all shipping in 2026.

The bottom line on Todoist AI in 2026

After multiple weeks of testing, Todoist AI is the version of Todoist that finally earns its “AI” suffix. Todoist Assist is a tight trio of focused features, Filter Assist genuinely removes the longest learning curve in the product, Email Assist is a real inbox-to-task productivity win, and Ramble plus smart capture handle the messy ways people actually capture work. The Todoist MCP server, the Claude connector, and the ChatGPT connector make Todoist the most “AI-portable” to-do list of 2026, and the privacy commitments and SOC 2 Type II certification hold up to scrutiny.

The trade-offs are real: Filter Assist is English- and Spanish-only, Task Assist is opt-in and easy to miss, Pro Legacy subscribers get a thinner Assist experience, there is no on-device or BYO-model option, and sub-task generation occasionally hallucinates. None are deal-breakers for the personal and small-team buyer Todoist targets, and the Todoist pricing page makes the tier math straightforward.

If your team is choosing between Todoist AI, TickTick, Any.do, and Things 3 in mid-2026, the simplest framing is this: pick Things 3 if you want a beautiful Apple-only to-do list with no AI, pick Any.do if you want a friendly mobile-first AI daily planner, pick TickTick if you want an all-in-one habit and calendar suite, and pick Todoist AI if you want the most balanced AI-powered task manager with a real cross-platform footprint and the deepest 2026 AI connector strategy.