Live conversation and writing assist console

For

Sales teams, recruiters and consultants who run live calls and follow-up writing

Solves

Live spoken answers and follow-up writing are prepared in separate tools, so context is lost between the call and the written record.

Delivers

User-approved live suggestions, recaps and follow-up drafts

Built in

about 4 weeks of creation time, MVP in 5 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 preparation and follow-up time while keeping the user's own wording and judgment.

1. Capture permitted call audio and meeting context.
2. Generate live prompts and suggested lines during spoken interactions.
3. Show suggestions in a discreet private overlay.
4. Connect to common video conferencing platforms.
5. Adapt suggestions to meetings, interviews, presentations and sales calls.
6. Produce a post-call recap with key points.
7. Draft a ready-to-send follow-up email from the conversation.
8. Generate post-call coaching feedback.
9. Support multiple conversation and writing languages.
10. Run on both Mac and Windows desktops.
11. Support standard phone calls.
12. Use content from multiple browser tabs as context.
13. Run integrated web search with cited sources.
14. Generate drafts for emails, reports and other text for insertion into other apps.
15. Store permitted memory from past interactions for personalization.
16. Correct spelling and grammar in real time.
17. Suggest writing style and clarity improvements.
18. Let users adjust correction strictness and personalization.
19. Work inside popular text editors and browsers.
20. Compare the reviewed result with the recorded baseline and value assumptions.
21. Capture corrections and named-owner approval before consequential use.
22. Export a versioned user-approved live suggestions, recaps and follow-up drafts with source references and unresolved questions.

Everything these tools do, in one app

• Real-time conversation suggestions Provides live prompts or lines to say during spoken interactions.Found in SpeakHints, Augment 1x, Nomi and 4 more
• Discreet private display Shows suggestions privately or invisibly so others cannot see them.Found in SpeakHints, Augment 1x, InterviewBee AI and 1 more
• Meeting platform integration Works with common video conferencing tools like Zoom, Google Meet, and Microsoft Teams.Found in SpeakHints, Nomi, InterviewBee AI and 2 more
• Multi-scenario support Adapts to different situations such as meetings, interviews, presentations, and sales calls.Found in SpeakHints, Augment 1x, Nomi and 2 more
• Post-call recap and notes Automatically captures key points and generates a summary after the conversation.Found in Nomi, Sayble
• Post-call follow-up email Drafts a ready-to-send follow-up email based on the conversation.Found in Sayble
• Post-call coaching feedback Provides actionable feedback after the call to help improve future performance.Found in Nomi
• Multi-language support Supports conversations or writing in multiple languages.Found in Sayble, Spellar AI, Spellar Pro
• Cross-platform desktop support Runs on both Mac and Windows computers.Found in Augment 1x, Sayble
• Phone call support Works during standard phone calls, not just online meetings.Found in Sayble
• Browser tab context Uses content from multiple browser tabs to inform suggestions.Found in TwinMind
• Integrated web search Searches the internet from within the tool to provide up-to-date answers with sources.Found in TwinMind
• Automated writing assistance Generates drafts for emails, reports, and other text that can be inserted into other apps.Found in TwinMind
• Memory and personalization Stores context from past interactions to improve future suggestions.Found in TwinMind
• Spelling and grammar correction Fixes spelling and grammar errors in real time with contextual suggestions.Found in Spellar AI, Spellar Pro
• Writing style and clarity suggestions Offers suggestions to improve sentence structure and overall text clarity.Found in Spellar AI, Spellar Pro
• Customizable correction settings Lets users adjust how strict or personalized the corrections are.Found in Spellar AI, Spellar Pro
• Editor and browser integration Works inside popular text editors and web browsers.Found in Spellar AI, Spellar Pro

What goes in, what comes out

The workflow

1. In
   Start with

   Permitted call audio, meeting context, browser tabs and prior interaction memory

2. 1

   Confirm the buyer's problem and scope

3. 2

   Collect permitted call audio

4. 3

   Meeting context

5. 4

   Browser tabs and prior interaction memory

6. 5

   Then follow this sequence: 1

7. Out
   Finish with

   User-approved live suggestions, recaps and follow-up drafts

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 fixed desktop build and permitted meeting platforms; final wording, commitments and sending 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: Session setup and consent, Live assist panel, Recap and follow-up workspace. Use a session list, a large central live panel with a discreet overlay mode, and a right-hand panel for sources, memory and correction settings. Let users compare suggested lines before speaking and compare draft versions before sending. Display live, recap pending and approved states. Provide a client-safe export link with comments anchored to the relevant transcript segment. Make the task-specific outcome user-approved live suggestions, recaps and follow-up drafts visible beside its evidence, review state and value baseline.

Accounts and administration

Session ownership, consent records, memory settings, correction strictness, platform connections, usage allowances, export 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 call recordings, authorized meeting platforms and permitted browser context. Cloud storage, calendar and CRM import/export and email destinations. Start with file exchange and validate destination specifications before promising direct sending. 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

   5 days

   One buyer segment, one recurring use case; first modules: capture permitted call audio and meeting context; generate live prompts and suggested lines; show suggestions in a discreet private overlay. Manual review in the loop. Built by our AI software factory.

3. 3

   Paid pilot

   6 days

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

4. 4

   Full product

   2 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 sales teams, recruiters and consultants who run live calls and follow-up writing use it to solve "live spoken answers and follow-up writing are prepared in separate tools, so context is lost between the call and the written record"?
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: Accepted follow-up drafts per call hour and corrections after sending.
4. Measure, then decide. Track accepted follow-up drafts per call hour and corrections after sending; 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 fixed desktop build and permitted meeting platforms; final wording, commitments and sending decisions remain with the user. Implement one approved input format, a bounded representative case set and the first three task modules: capture permitted call audio and meeting context; generate live prompts and suggested lines; show suggestions in a discreet private overlay. Support the remaining modules with operator review: produce a post-call recap; draft a ready-to-send follow-up email; generate post-call coaching feedback. 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 user-approved live suggestions, recaps and follow-up drafts. Retain the explicit scope boundary: One fixed desktop build and permitted meeting platforms; final wording, commitments and sending decisions remain with the user.

What the build depends on. Audio capture and preview, asynchronous generation jobs, editable version history, reviewer access and tested export formats. High-fidelity live assist requires low-latency processing and specialist QA. Obtain representative authorized cases, baseline measurements, qualified reviewers and a buyer-side decision owner. Specific limitation: One fixed desktop build and permitted meeting platforms; final wording, commitments and sending 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 session package. Offer a monthly production allowance after repeat demand. Quote complex multi-platform or specialist integrations separately. These are test prices, not market benchmarks. Package the initial sale as one bounded user-approved live suggestions, recaps and follow-up drafts. 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 preparation and follow-up time while keeping the user's own wording and judgment. Demonstrate a concrete user-approved live suggestions, recaps and follow-up drafts using the buyer's approved example and show the baseline, corrections and actual delivery effort.

Where to find buyers

Sales teams, recruiters and consultants professional communities; specialist consultants serving this buyer; permissioned partner introductions; practical demonstrations at relevant trade or practitioner events.

Lead magnet

A reviewed sample user-approved live suggestions, recaps and follow-up drafts from a small authorized input set, with a transparent calculation of accepted follow-up drafts per call hour and corrections after sending and no promised savings.

The first 30 days

1. Week 1: interview five sales teams, recruiters and consultants who run live calls and follow-up writing and inspect a recent example of live spoken answers and follow-up writing prepared in separate tools, so context is lost between the call and the written record.
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 accepted follow-up drafts per call hour and corrections after sending, 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: Accepted follow-up drafts per call hour and corrections after sending. 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

Accepted follow-up drafts per call hour and corrections after sending; accepted-output rate; material error rate; reviewer correction time; actual repeat purchase.

Retention and expansion

Repeat the workflow when the buyer again needs user-approved live suggestions, recaps and follow-up drafts. 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 scenarios, correction examples and review cases, together with reliable delivery for a narrow sales and professional-services niche. Build a permissioned library of representative task cases, reviewer corrections and verified operating constraints for sales teams, recruiters and consultants who run live calls and follow-up writing. Repeatable delivery and useful integrations matter more than access to a base model.

Alternatives and positioning

SpeakHints, Augment 1x, Nomi, InterviewBee AI, Sayble, Spellar AI, LockedIn AI, TwinMind and Spellar Pro are the tools buyers use today, each covering part of the job. Compare this product with the buyer's present method on accepted follow-up drafts per call hour and corrections after sending. Offer a bounded paid workflow instead of claiming broad autonomous expertise. Market uniqueness and competitor coverage are not verified.

Main delivery costs

Transcription and model attempts, 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 user-approved live suggestions, recaps and follow-up drafts. Track cost per accepted output, including correction work, unsuccessful cases and support.

Preserve user voice, source attribution, quotation accuracy and usage permissions. Users approve substantive changes and sending scope. One fixed desktop build and permitted meeting platforms; final wording, commitments and sending 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.