Screenshot of the Source-based content workspace with editorial delivery interactive demo
Screenshot of the interactive demo, on sample data

Source-based content workspace with editorial delivery

Reduce manual copying between transcription, summarization, drafting and storage while keeping the writer's voice.

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For
Writers, journalists and content teams turning spoken or written source material into organized, ready-to-use text
Solves
Source material arrives as audio, notes and long documents, and separate tools for transcription, summarization, drafting and storage force manual copying between them.
Delivers
Writer-approved ready-to-use text linked to source references
Built in
about 5 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 manual copying between transcription, summarization, drafting and storage while keeping the writer's voice.

  1. Convert authorized spoken audio into written text.
  2. Add time-stamped transcripts so specific parts of the audio can be located.
  3. Summarize longer text into concise bullet points or summaries.
  4. Adjust summary length to fit different needs.
  5. Accept articles, reports, notes and other text inputs.
  6. Keep notes searchable, editable and organized for retrieval.
  7. Maintain the writer's individual style and vocabulary.
  8. Generate drafts in requested styles such as journalistic, technical or legal.
  9. Translate or generate content in multiple languages.
  10. Process content quickly to produce output.
  11. Record audio with the screen off.
  12. Provide a mobile app and home-screen widget for quick access.
  13. Export notes in formats such as PDF and TXT.
  14. Serve as a central hub to manage and store content snippets.
  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 writer-approved ready-to-use text linked to source references with source references and unresolved questions.

Everything these tools do, in one app

What goes in, what comes out

What the customer puts in
  • Authorized audio
  • Notes
  • Long documents

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

What the customer gets
  • Writer-approved ready-to-use text linked to source references
02

How it works

The workflow

  1. In
    Start with

    Authorized audio, notes and long documents

  2. 1

    Confirm the buyer's problem and scope

  3. 2

    Collect authorized audio

  4. 3

    Notes and long documents

  5. 4

    Then follow this sequence: 1

  6. Out
    Finish with

    Writer-approved ready-to-use text linked to source references

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 input format and one target publication format; final fact-checking and editorial judgment remain human. A model suggestion is never a verified fact, professional decision or authorization to act.

What your team sees

Primary screens: Source intake and permissions, Editable production preview, Client proof and delivery. Use a thumbnail gallery for projects, a large central editing canvas, and a right-hand panel for sources, constraints and comments. Let users compare versions side by side. Display draft, changes requested and approved states. Provide a client preview link with comments anchored to the relevant asset. Make the task-specific outcome writer-approved ready-to-use text linked to source references visible beside its evidence, review state and value baseline.

Accounts and administration

Project ownership, asset 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

Author-owned recordings, authorized interviews and permitted research sources. Cloud asset storage, document import/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: convert authorized spoken audio into written text; add time-stamped transcripts so specific parts of the audio can be located. 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 writers, journalists and content teams turning spoken or written source material into organized, ready-to-use text use it to solve "source material arrives as audio, notes and long documents, and separate tools for transcription, summarization, drafting and storage force manual copying between them"?
  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 drafts per editorial hour and corrections after editorial approval.
  4. Measure, then decide. Track accepted drafts per editorial hour and corrections after editorial 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 approved input format and one target publication format; final fact-checking and editorial judgment remain human. Implement one approved input format, a bounded representative case set and the first two task modules: convert authorized spoken audio into written text; add time-stamped transcripts so specific parts of the audio can be located. Support the third module with operator review: summarize longer text into concise bullet points or summaries. 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 writer-approved ready-to-use text linked to source references. Retain the explicit scope boundary: One approved input format and one target publication format; final fact-checking and editorial judgment remain human.

What the build depends on. Asset upload and preview, asynchronous transcription jobs, editable version history, reviewer access and tested export formats. High-fidelity editorial work requires specialist review. Obtain representative authorized cases, baseline measurements, qualified reviewers and a buyer-side decision owner. Specific limitation: One approved input format and one target publication format; final fact-checking and editorial judgment remain human.

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: convert authorized spoken audio into written text; add time-stamped transcripts so specific parts of the audio can be located. 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 5 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

Writers, journalists and content teams turning spoken or written source material into organized, ready-to-use text run it inside the business: authorized audio, notes and long documents in, writer-approved ready-to-use text linked to source references 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#912e27
  • accent#54c9ae
  • surface#f1e5e4
  • ink#22201e
Headings
Space Grotesk
Text
Inter
Voice
Literate, generous, editorial
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 content package. Offer a monthly production allowance after repeat demand. Quote complex multilingual or specialist editorial work separately. These are test prices, not market benchmarks. Package the initial sale as one bounded writer-approved ready-to-use text linked to source references. 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 copying between transcription, summarization, drafting and storage while keeping the writer's voice. Demonstrate a concrete writer-approved ready-to-use text linked to source references using the buyer's approved example and show the baseline, corrections and actual delivery effort.

Where to find buyers

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

Lead magnet

A reviewed sample writer-approved ready-to-use text linked to source references from a small authorized input set, with a transparent calculation of accepted drafts per editorial hour and corrections after editorial approval and no promised savings.

The first 30 days

  1. Week 1: interview five writers, journalists and content teams turning spoken or written source material into organized, ready-to-use text and inspect a recent example of source material arriving as audio, notes and long documents, and separate tools for transcription, summarization, drafting and storage forcing manual copying between them.
  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 drafts per editorial hour and corrections after editorial 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: Accepted drafts per editorial hour and corrections after editorial 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

Accepted drafts per editorial hour and corrections after editorial approval; accepted-output rate; material error rate; reviewer correction time; actual repeat purchase.

Retention and expansion

Repeat the workflow when the buyer again needs writer-approved ready-to-use text linked to source references. 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 styles, source constraints and review examples, together with reliable delivery for a narrow editorial niche. Build a permissioned library of representative task cases, reviewer corrections and verified operating constraints for writers, journalists and content teams turning spoken or written source material into organized, ready-to-use text. Repeatable delivery and useful integrations matter more than access to a base model.

Alternatives and positioning

Audio Notes AI, Letterly, Bulletpen and Flipner, plus manual transcription and generic writing tools. Compare this product with the buyer's present method on accepted drafts per editorial hour and corrections after editorial approval. Offer a bounded paid workflow instead of claiming broad autonomous expertise. Market uniqueness and competitor coverage are not verified.

Main delivery costs

Transcription and generation attempts, storage, reviewer hours, client revision rounds and licensed source material. Additional initial validation requires representative authorized sample preparation, buyer interviews, buyer-side evaluation and bounded validation of writer-approved ready-to-use text linked to source references. Track cost per accepted output, including correction work, unsuccessful cases and support.

06

Safeguards

Preserve author voice, source attribution, quotation accuracy and usage permissions. Writers approve substantive changes and publication scope. One approved input format and one target publication format; final fact-checking and editorial judgment remain human. 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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