Natural-language task capture and scheduling portal

For

Individuals and small teams who capture tasks in messy natural language and need them scheduled without manual setup

Solves

Tasks arrive as unstructured notes, voice memos and messages, then stall because scheduling, breakdown and follow-up are manual.

Delivers

Reviewed scheduled task plan with subtasks, estimates and deadlines

Built in

about 5 weeks of creation time, MVP in 6 days

Investment

$13,000 for the MVP, $44,000 for the full product

Run it

Inside your business, or as part of your offer to clients

Reduce the time from messy input to a scheduled, actionable to-do list.

1. Capture tasks from typed or spoken natural language.
2. Parse dates, times and recurring patterns into scheduled to-dos.
3. Split vague or large tasks into smaller actionable steps.
4. Assign estimated durations to subtasks.
5. Assign deadlines without manual setup.
6. Sync tasks two-way with calendars and reminders.
7. Send smart countdown alerts before scheduled tasks.
8. Show a morning summary of the day's tasks.
9. Suggest follow-up tasks to keep the list moving.
10. Process input on-device where supported.
11. Fall back to cloud parsing when on-device confidence is low.
12. Recognize and parse multiple languages.
13. Provide a menu bar popover for capture without opening a full window.
14. Provide a customizable global keyboard shortcut.
15. Compare the reviewed result with the recorded baseline and value assumptions.
16. Capture corrections and named-owner approval before consequential use.
17. Export a versioned reviewed scheduled task plan with source references and unresolved questions.

Everything these tools do, in one app

• Natural-language task capture Lets users type or speak tasks in everyday messy language and turns them into structured to-dos.Found in PopTask, PopTask v2.0, Noro ADHD Planner
• Automatic scheduling Detects dates, times, and recurring patterns from the input and schedules the task automatically.Found in PopTask, PopTask v2.0
• Task breakdown Splits vague or large tasks into smaller actionable steps or subtasks.Found in PopTask, PopTask v2.0, Noro ADHD Planner
• Voice input Allows capturing tasks by speaking instead of typing.Found in PopTask v2.0, Noro ADHD Planner
• Menu bar integration Lets users capture tasks from a lightweight menu bar popover without opening a full app window.Found in PopTask, PopTask v2.0
• Global keyboard shortcut Provides a customizable hotkey to start task capture quickly from anywhere.Found in PopTask v2.0
• On-device parsing Processes task input locally on supported systems to preserve privacy and enable offline use.Found in PopTask, PopTask v2.0
• Cloud parsing fallback Uses cloud-assisted parsing when on-device processing is unavailable or confidence is low.Found in PopTask, PopTask v2.0
• Multilingual support Recognizes and parses task input in multiple languages.Found in PopTask, PopTask v2.0
• Smart countdown alerts Sends timely alerts counting down to scheduled tasks.Found in PopTask, PopTask v2.0
• Morning summary Shows a summary of the day's tasks in the morning.Found in PopTask
• Follow-up suggestions Suggests follow-up tasks to keep a task list moving.Found in PopTask v2.0
• Calendar and reminders sync Two-way syncs tasks with calendars and reminders so edits propagate between devices.Found in PopTask v2.0
• Automatic time estimates Assigns an estimated duration to each subtask to help with realistic planning.Found in Noro ADHD Planner
• Automatic deadlines Assigns deadlines to tasks without manual setup.Found in Noro ADHD Planner
• Fast low-friction workflow Minimizes setup so users can go from input to a usable plan in about a minute.Found in Noro ADHD Planner

What goes in, what comes out

The workflow

1. In
   Start with

   Typed or spoken task input, calendar context and user preferences

2. 1

   Confirm the buyer's problem and scope

3. 2

   Collect typed or spoken task input

4. 3

   Calendar context and user preferences

5. 4

   Then follow this sequence: 1

6. Out
   Finish with

   Reviewed scheduled task plan with subtasks, estimates and deadlines

AI does the heavy lifting, people stay in charge

Use AI to interpret permitted inputs, suggest structured mappings and generate candidate outputs for the three stated task modules. Use deterministic code for arithmetic, schema validation, hard constraints and reproducible tests. Review source-linked explanations and uncertainty before accepting results. On-device parsing is preferred where supported; cloud parsing is a fallback. Final scheduling and priority decisions remain with the user. A model suggestion is never a verified fact, professional decision or authorization to act.

What your team sees

Primary screens: Capture bar and inbox, Editable task plan, Calendar and reminders view. Use a lightweight menu bar popover for capture, a central list for parsed tasks and subtasks, and a right-hand panel for schedule, estimates and comments. Let users compare parsed output against the original input. Display draft, needs review and scheduled states. Provide a shareable plan link with comments anchored to the relevant task. Make the task-specific outcome reviewed scheduled task plan with subtasks, estimates and deadlines visible beside its evidence, review state and value baseline.

Accounts and administration

Project ownership, task versions, user comments, approval states, usage allowances, revision limits, download history and a rights record for supplied material. Add organization access boundaries, named reviewers, usage caps, data retention controls, export logs and explicit approval for external actions.

Integrations and data access

User-owned task lists, authorized calendar accounts and permitted reminder services. Cloud task storage, calendar import/export and reminder destinations. Start with file exchange and validate destination specifications before promising direct sync. Start with authorized file exchange. Validate current provider access, usage rights and schema behavior before promising a connector.

We build with our own AI software development factory, so most implementations take days to a few weeks of creation time, not months. You see working software at every step, and exact timing depends on availability.

1. 1

   Scoping call

   Day 1

   Thirty minutes on your process, your data and how you want to run it: for your own team, or for your clients. You get a fixed scope and price for the MVP.

2. 2

   MVP

   6 days

   One buyer segment, one recurring use case; first modules: capture tasks from typed or spoken natural language; parse dates, times and recurring patterns into scheduled to-dos. Manual review in the loop. Built by our AI software factory.

3. 3

   Paid pilot

   7 days

   Accounts, roles, review states, audit trail and the first integration, hardened for two to three paying pilot customers.

4. 4

   Full product

   3 weeks

   Self-serve onboarding, billing, monitoring and the wider integration set.

5. 5

   Run and improve

   Monthly

   We host, monitor and improve it for a fixed monthly fee, or hand it over to your team. How the retainer works.

Why we start with an MVP

An MVP, or minimum viable product, is the smallest version that your users can actually work with. It is not a cheap version of the full solution. It is a test, built to answer the questions that decide whether the rest is worth building.

1. Pick the riskiest assumption. Here: will individuals and small teams who capture tasks in messy natural language and need them scheduled without manual setup use it to solve "tasks arrive as unstructured notes, voice memos and messages, then stall because scheduling, breakdown and follow-up are manual"?
2. Build only what tests it. One team, one use case, a few core modules. People do the rest by hand for now.
3. Run a paid pilot. Agree quality and outcome thresholds before the pilot using this measure: Captured tasks per active user per week and manual scheduling edits per task.
4. Measure, then decide. Track captured tasks per active user per week and manual scheduling edits per task; accepted-output rate; material error rate; reviewer correction time; actual repeat purchase. Then expand, change course or stop, with evidence instead of opinions.

MVP scope for this solution. Pilot scope: One supported language and one calendar provider; final scheduling and priority decisions remain with the user. Implement one approved input format, a bounded representative case set and the first two task modules: capture tasks from typed or spoken natural language; parse dates, times and recurring patterns into scheduled to-dos. Support the third module with operator review: split vague or large tasks into smaller actionable steps. Include source references, corrections, basic organization access, approval states, export and value measurement. Use managed operator assistance for unresolved exceptions. The cost estimate covers this narrow prototype, not unrestricted multi-tenant scale, complex production integrations, specialist certification or physical operations.

After the MVP. Once paid pilots prove usefulness, automate repeatable reviewed steps and add one verified source integration. Expand supported inputs and case volume only after new evaluation cases pass. Build reusable customer configurations and recurring value reports around reviewed scheduled task plan with subtasks, estimates and deadlines. Retain the explicit scope boundary: One supported language and one calendar provider; final scheduling and priority decisions remain with the user.

What the build depends on. Task upload and preview, asynchronous parsing jobs, editable version history, reviewer access and tested export formats. High-fidelity scheduling requires specialist productivity QA. Obtain representative authorized cases, baseline measurements, qualified reviewers and a buyer-side decision owner. Specific limitation: One supported language and one calendar provider; final scheduling and priority decisions remain with the user.

A planning range to start the conversation, not a quote. You pay per phase, so you can stop after the MVP.

Running costs per month

A rough indication of monthly hosting and AI model costs once it is live, not tested. Real costs depend on usage, file sizes and the models chosen.

Your brand, or this one

Run it under your own brand, or start from this concept style.

Selling it to your own clients: the go-to-market playbook

Pricing to test

Test a USD 300-1,500 fixed pilot for one defined task workflow. Offer a monthly production allowance after repeat demand. Quote complex multi-user or specialist integrations separately. These are test prices, not market benchmarks. Package the initial sale as one bounded reviewed scheduled task plan with subtasks, estimates and deadlines. Recurring fees must specify volume, review depth and integration support. For exchanges, test a disclosed coordination or successful-service fee rather than holding customer funds. Reprice only after measuring real delivery labor; platform-build cost is separate from a commercial pilot fee.

Message to test

Reduce the time from messy input to a scheduled, actionable to-do list. Demonstrate a concrete reviewed scheduled task plan with subtasks, estimates and deadlines using the buyer's approved example and show the baseline, corrections and actual delivery effort.

Where to find buyers

Individuals and small teams who capture tasks in messy natural language professional communities; specialist consultants serving this buyer; permissioned partner introductions; practical demonstrations at relevant trade or practitioner events.

Lead magnet

A reviewed sample reviewed scheduled task plan with subtasks, estimates and deadlines from a small authorized input set, with a transparent calculation of captured tasks per active user per week and manual scheduling edits per task and no promised savings.

The first 30 days

1. Week 1: interview five individuals and small teams who capture tasks in messy natural language and inspect a recent example of tasks arrive as unstructured notes, voice memos and messages, then stall because scheduling, breakdown and follow-up are manual.
2. Week 2: prepare a consented or synthetic demonstration of the three task modules.
3. Week 3: seek one bounded paid pilot with agreed baseline and acceptance criteria.
4. Week 4: measure captured tasks per active user per week and manual scheduling edits per task, reviewer effort and repeat-purchase interest. This is a demand-validation plan, not a thirty-day full-product delivery promise.

Paid pilot

Agree quality and outcome thresholds before the pilot using this measure: Captured tasks per active user per week and manual scheduling edits per task. Continue only if the buyer accepts the actual output, the intended job outcome improves without unacceptable errors, and measured delivery cost fits willingness to pay. Revise or stop if access is unavailable, qualified review cannot be provided, or apparent savings disappear after corrections and support. Use held-out cases when comparing model quality; use a properly reviewed comparison design before making causal claims. Record missing cases and negative results alongside successful outputs.

Success metrics

Captured tasks per active user per week and manual scheduling edits per task; accepted-output rate; material error rate; reviewer correction time; actual repeat purchase.

Retention and expansion

Repeat the workflow when the buyer again needs reviewed scheduled task plan with subtasks, estimates and deadlines. Retain permissioned settings and reviewed examples, report realized value honestly, and sell increased volume or adjacent approved workflows only after contribution margin and quality remain acceptable.

Why clients would pick it

A reusable library of approved parsing rules, scheduling constraints and review examples, together with reliable delivery for a narrow productivity niche. Build a permissioned library of representative task cases, reviewer corrections and verified operating constraints for individuals and small teams who capture tasks in messy natural language and need them scheduled without manual setup. Repeatable delivery and useful integrations matter more than access to a base model.

Alternatives and positioning

PopTask, PopTask v2.0, Noro ADHD Planner, manual notes apps and calendar entries. Compare this product with the buyer's present method on captured tasks per active user per week and manual scheduling edits per task. Offer a bounded paid workflow instead of claiming broad autonomous expertise. Market uniqueness and competitor coverage are not verified.

Main delivery costs

Parsing attempts, voice processing, storage, reviewer hours, client revision rounds and licensed source assets. Additional initial validation requires representative authorized sample preparation, buyer interviews, buyer-side evaluation and bounded validation of reviewed scheduled task plan with subtasks, estimates and deadlines. Track cost per accepted output, including correction work, unsuccessful cases and support.

Preserve user intent, source attribution, task accuracy and usage permissions. Users approve substantive changes and sharing scope. One supported language and one calendar provider; final scheduling and priority decisions remain with the user. Keep all consequential actions under authorized human control and do not fabricate missing inputs, permissions, professional judgments or market evidence.