Screenshot of the Voice-following on-camera script delivery workspace interactive demo
Screenshot of the interactive demo, on sample data

Voice-following on-camera script delivery workspace

Reduce retakes while keeping the speaker on script.

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For
PR and communications teams producing on-camera scripts, spokesperson videos and recorded briefings
Solves
Reading a script aloud on camera drifts from fixed-speed scrolling, and improvised or skipped lines break the take.
Delivers
A reviewed take with coverage evidence
Built in
about 4 weeks of creation time, MVP in 5 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
01

What it does

Reduce retakes while keeping the speaker on script.

  1. Scroll the script automatically from the words spoken.
  2. Hold the place when the speaker improvises or skips.
  3. Resume from the script when the speaker returns.
  4. Run voice and script processing on the device.
  5. Allow use without an account or login.
  6. Write and organize scripts in the same app.
  7. Record the take while the script is read.
  8. Keep the prompter out of screen recordings and calls.
  9. Track key points not yet said and warn while there is time.
  10. Report after the take whether anything required was skipped.
  11. Adjust text size, column width, alignment and mirroring for studio screens.
  12. Support 60+ languages for videos, demos, presentations and live content.
  13. Run in a browser with no download or setup.
  14. Install as a very small app with a minimal footprint.
  15. Offer a 10-day free trial of the Pro version.
  16. Provide a free basic teleprompter with Pro adding extra features.
  17. Distribute the app as a public beta through TestFlight.
  18. Compare the reviewed take with the recorded baseline and value assumptions.
  19. Capture corrections and named-owner approval before consequential use.
  20. Export a versioned reviewed take with coverage evidence, source references and unresolved questions.

Everything these tools do, in one app

What goes in, what comes out

What the customer puts in
  • Approved scripts
  • Key-point lists
  • Delivery constraints

AI drafts, people review. Source-based content workspace with editorial delivery.

What the customer gets
  • A reviewed take with coverage evidence
02

How it works

The workflow

  1. In
    Start with

    Approved scripts, key-point lists and delivery constraints

  2. 1

    Confirm the buyer's problem and scope

  3. 2

    Collect approved scripts

  4. 3

    Key-point lists and delivery constraints

  5. 4

    Then follow this sequence: 1

  6. Out
    Finish with

    A reviewed take with coverage evidence

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. One approved script format and one recording setup; final editorial and compliance checks remain with the communications owner. A model suggestion is never a verified fact, professional decision or authorization to act.

What your team sees

Primary screens: Script and key points, Live prompter take, Take review and delivery. Use a thumbnail gallery for scripts, a large central prompter canvas, and a right-hand panel for key points, coverage state and comments. Let users compare takes side by side. Display draft, changes requested and approved states. Provide a client preview link with comments anchored to the relevant take. Make the task-specific outcome a reviewed take with coverage evidence visible beside its evidence, review state and value baseline.

Accounts and administration

Project ownership, script versions, client 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

Team-owned scripts, approved key-point lists and permitted research sources. Cloud asset storage, video export and publishing 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.

03

How we build it

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: scroll the script automatically from the words spoken; hold the place when the speaker improvises or skips. 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 PR and communications teams producing on-camera scripts, spokesperson videos and recorded briefings use it to solve "reading a script aloud on camera drifts from fixed-speed scrolling, and improvised or skipped lines break the take"?
  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 takes per recording hour and missed key points per published video.
  4. Measure, then decide. Track accepted takes per recording hour and missed key points per published video; 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 approved script format and one recording setup; final editorial and compliance checks remain with the communications owner. Implement one approved input format, a bounded representative case set and the first two task modules: scroll the script automatically from the words spoken; hold the place when the speaker improvises or skips. Support the third module with operator review: track key points not yet said and warn while there is time. 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 a reviewed take with coverage evidence. Retain the explicit scope boundary: One approved script format and one recording setup; final editorial and compliance checks remain with the communications owner.

What the build depends on. Script upload and preview, asynchronous recording jobs, editable version history, reviewer access and tested export formats. High-fidelity production requires specialist editorial QA. Obtain representative authorized cases, baseline measurements, qualified reviewers and a buyer-side decision owner. Specific limitation: One approved script format and one recording setup; final editorial and compliance checks remain with the communications owner.

04

Investment

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

  1. Phase 1

    MVP

    One buyer segment, one recurring use case; first modules: scroll the script automatically from the words spoken; hold the place when the speaker improvises or skips. Manual review in the loop.

    $13,000 · about 5 days of creation time

  2. Phase 2

    Paid pilot

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

    $13,000 · about 6 days of creation time

  3. Phase 3

    Full product

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

    $18,000 · about 2 weeks of creation time

Indicative total, MVP to full product$44,000about 4 weeks of creation time · start with the MVP from $13,000

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.

StageHosting and infrastructureAI usageTotal per month
MVP and paid pilotabout 3 customers$30–$60$70–$140$100–$200
Full productabout 50 customers$110–$210$700–$1,400$810–$1,610
05

Run it or resell it

Internally

For your own team

PR and communications teams producing on-camera scripts, spokesperson videos and recorded briefings run it inside the business: approved scripts, key-point lists and delivery constraints in, a reviewed take with coverage evidence out, reviewed by your people.

For your clients

As part of your offer

Agencies, consultancies and software companies can offer it to their own clients under their brand. We build and maintain it; you sell and deliver it.

Your brand, or this one

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

  • primary#762791
  • accent#60c954
  • surface#eee4f1
  • ink#22201e
Headings
Playfair Display
Text
Source Sans 3
Voice
Articulate, timely, composed
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 script package. Offer a monthly production allowance after repeat demand. Quote complex live or multi-camera work separately. These are test prices, not market benchmarks. Package the initial sale as one bounded reviewed take with coverage evidence. 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 retakes while keeping the speaker on script. Demonstrate a concrete reviewed take with coverage evidence using the buyer's approved example and show the baseline, corrections and actual delivery effort.

Where to find buyers

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

Lead magnet

A reviewed sample take with coverage evidence from a small authorized input set, with a transparent calculation of accepted takes per recording hour and missed key points per published video and no promised savings.

The first 30 days

  1. Week 1: interview five PR and communications teams producing on-camera scripts, spokesperson videos and recorded briefings and inspect a recent example of reading a script aloud on camera drifting from fixed-speed scrolling, and improvised or skipped lines breaking the take.
  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 takes per recording hour and missed key points per published video, 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 takes per recording hour and missed key points per published video. 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 takes per recording hour and missed key points per published video; accepted-output rate; material error rate; reviewer correction time; actual repeat purchase.

Retention and expansion

Repeat the workflow when the buyer again needs a reviewed take with coverage evidence. 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 scripts, delivery constraints and review examples, together with reliable delivery for a narrow communications niche. Build a permissioned library of representative task cases, reviewer corrections and verified operating constraints for PR and communications teams producing on-camera scripts, spokesperson videos and recorded briefings. Repeatable delivery and useful integrations matter more than access to a base model.

Alternatives and positioning

Tellie Prompter 1.5, Sayscroll and Scriptly. Compare this product with the buyer's present method on accepted takes per recording hour and missed key points per published video. Offer a bounded paid workflow instead of claiming broad autonomous expertise. Market uniqueness and competitor coverage are not verified.

Main delivery costs

Recording 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 a reviewed take with coverage evidence. Track cost per accepted output, including correction work, unsuccessful cases and support.

06

Safeguards

Preserve speaker voice, source attribution, quotation accuracy and usage permissions. Communications owners approve substantive changes and publication scope. One approved script format and one recording setup; final editorial and compliance checks remain with the communications owner. Keep all consequential actions under authorized human control and do not fabricate missing inputs, permissions, professional judgments or market evidence.

Get this solution built

Built for you by our AI software factory, MVP in about 5 days. Tell us about your business and how you want to run it: inside your company, or as part of what you offer your clients. We reply within one working day.

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