Voice-driven desktop task and meeting assistant

For

Managers and operations leads who work across email, calendar, chat and meeting tools all day

Solves

Spoken instructions, meeting outcomes and on-screen context are scattered across separate tools, so routine coordination work is retyped, rechecked and often missed.

Delivers

Reviewed actions and structured notes

Built in

about 5 weeks of creation time, MVP in 6 days

Investment

$13,500 for the MVP, $46,000 for the full product

Run it

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

Reduce manual coordination work while keeping a named owner in control of every consequential action.

1. Transcribe speech into the active application.
2. Answer questions about visible on-screen content.
3. Record meetings and generate structured notes and summaries.
4. Schedule, move and block calendar time by voice.
5. Capture notes, ideas and document searches by speaking.
6. Run automations across tasks, projects, calendar and notes.
7. List planned changes for review before execution.
8. Reference existing tasks, contacts, meetings and notes in multi-step requests.
9. Clean up grammar and structure of dictated text.
10. Trigger desktop actions such as opening apps and setting reminders.
11. Read on-screen text aloud on request.
12. Operate as an overlay inside email, chat and coding tools.
13. Suggest real-time answers and action items during meetings.
14. Capture system audio without a visible meeting bot.
15. Start one-click capture and produce English notes from other languages.
16. Store audio and documents encrypted with download access.
17. Connect Gmail, Calendar and Slack from one interface.
18. Compare the reviewed result with the recorded baseline and value assumptions.
19. Capture corrections and named-owner approval before consequential use.
20. Export a versioned reviewed action list and structured notes with source references and unresolved questions.

Everything these tools do, in one app

• Voice dictation Converts spoken words into text directly within any application.Found in Crodo AI, Loqua
• Screen-aware queries Allows asking questions about on-screen content using voice, with the assistant using the visible content as context.Found in Crodo AI, Loqua
• Meeting capture and notes Records meetings and automatically generates structured notes and summaries.Found in Crodo AI, SuperIntern v0.3
• Task and calendar management Enables scheduling meetings, moving appointments, blocking focus time, and setting reminders via voice.Found in Routine AI
• Idea capture and note-taking Lets users create notes, log ideas, or search documents and wiki pages by speaking.Found in Routine AI
• AI agents and automations Automates repetitive work across tasks, projects, calendar, and notes.Found in Routine AI
• Review before execution Lists planned changes after interpreting a command, allowing users to modify, remove, or approve before applying.Found in Routine AI
• Unified platform context References existing tasks, contacts, meetings, and notes to handle complex multi-step requests.Found in Routine AI
• Polished dictation output Cleans up grammar and structure of spoken input to produce ready-to-use text.Found in Loqua
• Desktop voice commands Triggers actions like opening apps, setting reminders, and scheduling by speaking.Found in Loqua
• Listen instead of read Reads on-screen text aloud so users can consume content without looking at the display.Found in Loqua
• Cross-app voice layer Operates as an overlay within existing tools like email clients, Slack, and coding environments.Found in Loqua
• Real-time in-meeting answers Provides instant answers to questions during discussions and suggests action items and owners.Found in SuperIntern v0.3
• No visible meeting bot Captures system audio directly without a bot joining the call, avoiding disruption.Found in SuperIntern v0.3
• One-click meeting capture Starts recording for common meeting platforms with a single click and can generate English notes from other languages.Found in SuperIntern v0.3
• Encrypted storage and recordings Stores audio and documents securely and allows downloading recordings.Found in SuperIntern v0.3
• App integrations Connects with Gmail, Calendar, and Slack to perform tasks from a single interface.Found in Crodo AI
• Compact interface Provides a lightweight panel that stays accessible without leaving the active window.Found in Crodo AI

What goes in, what comes out

The workflow

1. In
   Start with

   Authorized audio, on-screen content, existing tasks, contacts, meetings and notes

2. 1

   Confirm the buyer's problem and scope

3. 2

   Collect authorized audio

4. 3

   On-screen content

5. 4

   Existing tasks

6. 5

   Contacts

7. 6

   Meetings and notes

8. 7

   Then follow this sequence: 1

9. Out
   Finish with

   Reviewed actions and structured notes

AI does the heavy lifting, people stay in charge

Use AI to interpret permitted inputs, suggest structured mappings and generate candidate outputs for the stated task modules. Use deterministic code for arithmetic, schema validation, hard constraints and reproducible tests. Review source-linked explanations and uncertainty before accepting results. One supported desktop platform and one meeting platform; final approval of calendar changes, messages and task edits remains human. A model suggestion is never a verified fact, professional decision or authorization to act.

What your team sees

Primary screens: Command and context panel, Review queue, Meeting notes and delivery. Use a compact always-available overlay for dictation and screen-aware queries, a central review list showing each planned change with its source, and a right-hand panel for tasks, contacts, meetings and notes. Let users compare the spoken request with the interpreted plan side by side. Display draft, changes requested and approved states. Provide a shared notes link with comments anchored to the relevant meeting segment. Make the task-specific outcome reviewed actions and structured notes visible beside its evidence, review state and value baseline.

Accounts and administration

Workspace ownership, connected accounts, recording permissions, review states, usage allowances, retention limits, download history and a rights record for captured audio. Add organization access boundaries, named reviewers, usage caps, data retention controls, export logs and explicit approval for external actions.

Integrations and data access

Gmail, Calendar, Slack, meeting platforms and desktop applications. Cloud storage, file import/export and note destinations. Start with file exchange and validate destination specifications before promising direct publishing. 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: transcribe speech into the active application; answer questions about visible on-screen content. 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 managers and operations leads who work across email, calendar, chat and meeting tools all day use it to solve "spoken instructions, meeting outcomes and on-screen context are scattered across separate tools, so routine coordination work is retyped, rechecked and often missed"?
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: Reviewed actions completed per operator hour and corrections after approval.
4. Measure, then decide. Track reviewed actions completed per operator hour and corrections after approval; 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 desktop platform and one meeting platform; final approval of calendar changes, messages and task edits remains human. Implement one approved input format, a bounded representative case set and the first two task modules: transcribe speech into the active application; answer questions about visible on-screen content. Support the remaining modules with operator review: record meetings and generate structured notes and summaries; schedule, move and block calendar time by voice; capture notes, ideas and document searches by speaking; run automations across tasks, projects, calendar and notes; list planned changes for review before execution. 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 actions and structured notes. Retain the explicit scope boundary: One supported desktop platform and one meeting platform; final approval of calendar changes, messages and task edits remains human.

What the build depends on. Audio capture and preview, asynchronous processing jobs, editable version history, reviewer access and tested export formats. High-fidelity meeting capture requires platform permission and specialist QA. Obtain representative authorized cases, baseline measurements, qualified reviewers and a buyer-side decision owner. Specific limitation: One supported desktop platform and one meeting platform; final approval of calendar changes, messages and task edits remains human.

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 workspace package. Offer a monthly production allowance after repeat demand. Quote complex integrations or specialist review separately. These are test prices, not market benchmarks. Package the initial sale as one bounded reviewed actions and structured notes workflow. 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 manual coordination work while keeping a named owner in control of every consequential action. Demonstrate a concrete reviewed actions and structured notes workflow using the buyer's approved example and show the baseline, corrections and actual delivery effort.

Where to find buyers

Managers and operations leads professional communities; specialist consultants serving this buyer; permissioned partner introductions; practical demonstrations at relevant trade or practitioner events.

Lead magnet

A reviewed sample reviewed actions and structured notes from a small authorized input set, with a transparent calculation of reviewed actions completed per operator hour and corrections after approval and no promised savings.

The first 30 days

1. Week 1: interview five managers and operations leads who work across email, calendar, chat and meeting tools all day and inspect a recent example of spoken instructions, meeting outcomes and on-screen context being scattered across separate tools.
2. Week 2: prepare a consented or synthetic demonstration of the task modules.
3. Week 3: seek one bounded paid pilot with agreed baseline and acceptance criteria.
4. Week 4: measure reviewed actions completed per operator hour and corrections after approval, 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: Reviewed actions completed per operator hour and corrections after approval. 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

Reviewed actions completed per operator hour and corrections after approval; accepted-output rate; material error rate; reviewer correction time; actual repeat purchase.

Retention and expansion

Repeat the workflow when the buyer again needs reviewed actions and structured notes. 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 command patterns, meeting templates and review examples, together with reliable delivery for a narrow operations niche. Build a permissioned library of representative task cases, reviewer corrections and verified operating constraints for managers and operations leads who work across email, calendar, chat and meeting tools all day. Repeatable delivery and useful integrations matter more than access to a base model.

Alternatives and positioning

Crodo AI, Routine AI, Loqua and SuperIntern v0.3, plus manual note-taking and calendar work. Compare this product with the buyer's present method on reviewed actions completed per operator hour and corrections after approval. Offer a bounded paid workflow instead of claiming broad autonomous expertise. Market uniqueness and competitor coverage are not verified.

Main delivery costs

Speech and language processing, storage, reviewer hours, client revision rounds and connected-account support. Additional initial validation requires representative authorized sample preparation, buyer interviews, buyer-side evaluation and bounded validation of reviewed actions and structured notes. Track cost per accepted output, including correction work, unsuccessful cases and support.

Preserve participant consent, source attribution, recording permissions and data rights. Named owners approve calendar changes, messages and task edits before execution. One supported desktop platform and one meeting platform; final approval of calendar changes, messages and task edits remains human. Keep all consequential actions under authorized human control and do not fabricate missing inputs, permissions, professional judgments or market evidence.