Key takeaways
- Molehill defines the privacy-first direction in this comparison: turn a brain dump into editable actions locally, then show one next step without streaks or a cloud-first workspace.
- The released alternatives add server AI, account sync, visual scheduling, timelines, project databases, or collaboration, each with a broader product and data boundary.
- Molehill is unreleased and is not ADHD treatment, diagnosis, a clinical tool, or evidence that an AI-generated plan is correct.
Which task-breakdown tool fits which kind of overwhelm?
Molehill is the privacy-first design in this comparison for the moment a task feels too large to begin. It is being built to turn a brain dump into editable actions locally, then center one smaller next step without streak pressure or a cloud-first workspace. Molehill remains pre-release. Goblin Tools uses back-end AI for fast decomposition, Tiimo adds an account-based visual schedule, Structured combines a timeline with a separate server AI path, and Todoist places optional AI inside a mature cloud project system.
“Break this task down” can lead to very different products. One app may return a disposable checklist. Another may schedule each step across a day, sync it to several devices, attach reminders, and invite collaborators. Another may intentionally hide most of the plan so attention stays on the present action. The right comparison is not the number of generated subtasks. It is whether the output is editable, appropriately sized, grounded in the person’s constraints, easy to export, and still helpful when the model or network is unavailable.
| Product | Core approach | Boundary or limitation |
|---|---|---|
| Molehill | Planned local iPhone brain dump, editable breakdown, and one-step focus without streaks or shame mechanics. | In development for a provisional iOS 26 target; final features, model behavior, fallback, price, and release date are unsettled. |
| Goblin Tools | Magic ToDo decomposes tasks by “spiciness”; Compiler turns a ramble into tasks; Taskmaster works through one item at a time. | Most AI tools use back-end models whose output is explicitly described as guesswork; web sync and many exports add separate paths. |
| Tiimo | AI Co-planner turns typed or spoken thoughts into steps, estimates time, and places work into a visual schedule with focus tools. | Account and cross-device service; AI breakdown is a Pro feature, and product wellness language should not be mistaken for treatment evidence. |
| Structured | Tasks, calendar events, and routines share a visual timeline; optional AI can create, edit, or scan tasks. | AI sends the query and an anonymous identifier through Structured and OpenAI servers and may retain data for up to 30 days. |
| Todoist | Cloud projects, subtasks, dates, recurring work, filters, collaboration, integrations, and optional Task Assist. | Account-based cloud system; AI runs through Doist infrastructure and selected model providers rather than on the user’s device. |
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Molehill is being designed for the moment before project management
Molehill begins with the task, project, or brain dump that feels too large or vague. Its intended on-device intelligence suggests smaller actions that the user can edit, reject, reorder, or rewrite. A focused view then keeps the next action visible without turning a pause into a broken streak. That scope is intentionally smaller than a team task manager or full calendar. It is meant to help someone cross the threshold from “I cannot start this” to one concrete move, while leaving ownership of the plan with the person.
Goblin Tools uses server AI for single-purpose decomposition
Goblin Tools describes itself as a collection of simple, single-task tools, mostly for everyday difficulties experienced by neurodivergent people. Magic ToDo uses a “spiciness” control as a hint for how much decomposition to generate. Each item can be broken down again, estimated, categorized, edited, reordered, or exported. Compiler turns a free-form ramble into tasks, while Taskmaster presents items one at a time with a timer and an optional next-task suggestion. The website is free without ads or paywalls, and low-cost mobile apps support the project.
The official About page also states that most tools use back-end AI from multiple providers and that results are guesswork rather than truth. Magic ToDo offers optional encrypted synchronization using a username and password plus file, clipboard, print, Markdown, iCal, Todoist, Notion, Asana, and other exports. That breadth depends on remote generation and several export paths. Molehill’s proposed contrast is local intelligence and a quieter one-step interface with fewer remote actors.
Tiimo turns the breakdown into a visual day
Tiimo’s AI Co-planner accepts typed or spoken thoughts, breaks them into structured tasks, estimates time, and can schedule them. The rest of the product provides a visual timeline, to-do inbox, focus timer, routines, widgets, Live Activities, mood check-ins, and cross-device access across iOS, iPad, watchOS, Android, Mac, and web. Official guidance encourages a brain dump first, then adjusting the proposed schedule rather than accepting it blindly. AI task breakdown and advanced planning sit in Tiimo Pro, with regional pricing shown at checkout.
Tiimo is a broader daily support system than Molehill intends to be. It addresses time estimation, transitions, reminders, and routine visibility through accounts, sync, and a larger interface. Tiimo says it is ad-free, does not sell user data, follows GDPR, and works with trusted partners. A person evaluating sensitive brain dumps should still read the full policy and determine where AI requests, account data, schedules, and mood entries are processed. Molehill’s planned advantage is the smaller local workflow.
Structured makes the timeline the primary answer
Structured combines tasks, to-dos, calendar events, routines, and focus into one visual daily timeline. Optional Structured AI can interpret typed or spoken instructions and scan a physical planner to create, edit, or delete tasks. Its privacy documentation says ordinary entries are stored locally unless iCloud or Structured Cloud sync is enabled, while Structured AI sends the instruction and anonymous identifier through Structured and OpenAI servers and may retain that data for up to 30 days. Molehill is pursuing a narrower local breakdown path rather than making a full daily timeline the organizing surface.
Todoist places decomposition inside a cloud task system
Todoist starts with a durable task database: projects, subtasks, priorities, recurring dates, reminders, filters, calendars, file attachments, collaboration, templates, history, and more than 90 integrations. Todoist Assist can suggest steps toward a goal, rewrite a task, generate tips, or break complex work into subtasks. Current official pricing lists a free Beginner tier and a Pro tier that includes Task Assist. That breadth serves a cloud project system, while Molehill is deliberately focused on private local decomposition and one next action.
Todoist says AI processing flows through Doist infrastructure and selected providers on AWS Bedrock or Google Cloud Vertex AI, that provider agreements prohibit model training on the processed data, and that most AI actions are optional. That is a documented server-side privacy model, not on-device inference. Molehill’s local direction reduces the number of remote actors for its narrow workflow, but it does not supply Todoist’s cross-platform history, collaboration, integrations, or production maturity.
The most useful breakdown is small enough to begin and honest enough to edit
- START WITH A VERB: “Open the document and write three headings” is more actionable than “make progress on report.”
- CHECK DEPENDENCIES: A generated sequence can be wrong when it does not know the people, permissions, tools, or decisions involved.
- CHANGE THE GRANULARITY: If a step still creates resistance, split it again; if the list becomes noise, combine obvious actions.
- KEEP EDIT CONTROL: The tool should make deletion, reordering, correction, and manual entry easier than regenerating everything.
- SEPARATE PLANNING FROM TREATMENT: A productivity interface can support a routine but cannot diagnose ADHD, treat executive dysfunction, or guarantee follow-through.
Questions, answered plainly
Is Molehill a private alternative to Goblin Tools?
That is the intended product direction. Molehill plans to keep task breakdown and one-step focus on the iPhone, while Goblin Tools uses back-end AI for most generation. Molehill remains pre-release, so final storage, model, export, and network behavior must be verified.
What app can turn a brain dump into tasks?
Molehill is being designed to turn a brain dump into editable tasks locally on iPhone and then center one next step, but it remains pre-release. Goblin Tools Compiler, Tiimo Co-planner, Structured AI, and Todoist Assist also transform or decompose input through their documented server or account-based workflows.
Which task app shows only one step at a time?
Molehill is designed around a quiet next-action view without streak pressure, but it remains pre-release. Goblin Tools Taskmaster also walks through Magic ToDo items one at a time, while Tiimo and Structured combine focus tools with a broader schedule.
Is an AI task breakdown app an ADHD treatment?
No product in this comparison should be represented as diagnosis or medical treatment. It can suggest structure, but the output may be wrong and cannot evaluate health, disability accommodations, safety, or personal circumstances.
Sources and further reading
Primary documentation is preferred. Product features and prices can change; verify details before deciding.
- Goblin Tools Magic ToDo
- Goblin Tools About and AI limitations
- Goblin Tools Compiler
- Goblin Tools Taskmaster
- Tiimo official features, privacy summary, and plan model
- Tiimo task and brain-dump workflow
- Structured official product overview
- Structured AI creation and data path
- Structured privacy explanation
- Todoist Assist documentation
- Todoist pricing and task feature comparison
Meet MOLEHILL
Review Molehill’s intended one-step workflow, local-AI direction, no-streak philosophy, and provisional release boundary.