Screenshot of the Source-based content and guidance workspace interactive demo
Screenshot of the interactive demo, on sample data

Source-based content and guidance workspace

Reduce tool switching and manual copying while keeping editorial and personal guidance decisions with named reviewers.

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For
Content teams and independent advisors producing written content and personal guidance
Solves
Written content and personal guidance work is split across several rented tools, so drafts, schedules, analytics and relationship or audience context never sit in one owned workflow.
Delivers
Reviewed drafts, scheduled posts and guidance notes linked to sources
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
01

What it does

Reduce tool switching and manual copying while keeping editorial and personal guidance decisions with named reviewers.

  1. Ingest approved source material and brand rules.
  2. Generate written content and suggestions from user input.
  3. Produce personalized suggestions from audience or relationship context.
  4. Apply customizable templates for consistent branding.
  5. Offer grammar, style and tone suggestions.
  6. Support writing in more than one language.
  7. Let users adjust prompts and instructions.
  8. Analyze relationship or audience patterns for growth areas.
  9. Queue posts on a shared calendar.
  10. Track engagement and reach of published content.
  11. Enable multiple reviewers to work on one project.
  12. Protect supplied data with encryption and anonymization.
  13. Connect to writing and productivity apps.
  14. Compare the reviewed result with the recorded baseline and value assumptions.
  15. Capture corrections and named-owner approval before consequential use.
  16. Export versioned reviewed drafts, scheduled posts and guidance notes with source references and unresolved questions.

Everything these tools do, in one app

What goes in, what comes out

What the customer puts in
  • Approved source material
  • Brand rules
  • Audience context
  • Editorial constraints

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

What the customer gets
  • Reviewed drafts
  • Scheduled posts
  • Guidance notes linked to sources
02

How it works

The workflow

  1. In
    Start with

    Approved source material, brand rules, audience context and editorial constraints

  2. 1

    Confirm the buyer's problem and scope

  3. 2

    Collect approved source material

  4. 3

    Brand rules

  5. 4

    Audience context and editorial constraints

  6. 5

    Then follow this sequence: 1

  7. Out
    Finish with

    Reviewed drafts, scheduled posts and guidance notes linked to sources

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 scheduling, arithmetic, schema validation, hard constraints and reproducible tests. Review source-linked explanations and uncertainty before accepting results. Guidance on relationships and personal matters stays advisory; qualified human review is required for consequential advice. A model suggestion is never a verified fact, professional decision or authorization to act.

What your team sees

Primary screens: Source intake and brief, Editable content and guidance workspace, Review and publishing queue. Use a thumbnail gallery for projects, a large central editing canvas, and a right-hand panel for sources, constraints, prompts and comments. Let users compare versions side by side. Display draft, changes requested and approved states. Provide a client or reviewer preview link with comments anchored to the relevant passage. Make the task-specific outcome reviewed drafts, scheduled posts and guidance notes linked to sources visible beside its evidence, review state and value baseline.

Accounts and administration

Project ownership, source versions, reviewer comments, approval states, usage allowances, revision limits, publishing 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 publishing actions.

Integrations and data access

Author-owned manuscripts, approved brand assets and permitted research sources. Cloud storage, writing and productivity apps, 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

    6 days

    One buyer segment, one recurring use case; first modules: ingest approved source material and brand rules; generate written content and suggestions from user input; produce personalized suggestions from audience or relationship context. 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

    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 content teams and independent advisors producing written content and personal guidance use it to solve "written content and personal guidance work is split across several rented tools, so drafts, schedules, analytics and relationship or audience context never sit in one owned workflow"?
  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 approval.
  4. Measure, then decide. Track accepted drafts per editorial 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 content category and one publishing channel; final editorial and guidance decisions remain human. Implement one approved input format, a bounded representative case set and the first three task modules: ingest approved source material and brand rules; generate written content and suggestions from user input; produce personalized suggestions from audience or relationship context. Support scheduling, analytics and collaboration with operator review. 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, languages and case volume only after new evaluation cases pass. Build reusable customer configurations and recurring value reports around reviewed drafts, scheduled posts and guidance notes linked to sources. Retain the explicit scope boundary: One content category and one publishing channel; final editorial and guidance decisions remain human.

What the build depends on. Source upload and preview, asynchronous generation jobs, editable version history, reviewer access and tested export formats. High-fidelity publishing requires specialist editorial QA. Obtain representative authorized cases, baseline measurements, qualified reviewers and a buyer-side decision owner. Specific limitation: One content category and one publishing channel; final editorial and guidance decisions 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: ingest approved source material and brand rules; generate written content and suggestions from user input; produce personalized suggestions from audience or relationship context. Manual review in the loop.

    $13,000 · about 6 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 7 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

Content teams and independent advisors producing written content and personal guidance run it inside the business: approved source material, brand rules, audience context and editorial constraints in, reviewed drafts, scheduled posts and guidance notes linked to sources 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#273391
  • accent#c9aa54
  • surface#e4e6f1
  • ink#22201e
Headings
Space Grotesk
Text
Inter
Voice
Energetic, specific, results-minded
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 multi-language or regulated guidance work separately. These are test prices, not market benchmarks. Package the initial sale as one bounded reviewed drafts, scheduled posts and guidance notes linked to sources. 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 tool switching and manual copying while keeping editorial and personal guidance decisions with named reviewers. Demonstrate a concrete reviewed drafts, scheduled posts and guidance notes linked to sources using the buyer's approved example and show the baseline, corrections and actual delivery effort.

Where to find buyers

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

Lead magnet

A reviewed sample reviewed drafts, scheduled posts and guidance notes linked to sources from a small authorized input set, with a transparent calculation of accepted drafts per editorial hour and corrections after approval and no promised savings.

The first 30 days

  1. Week 1: interview five content teams and independent advisors producing written content and personal guidance and inspect a recent example of written content and personal guidance work split across several rented tools.
  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 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 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 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 drafts, scheduled posts and guidance notes linked to sources. 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 brand rules, source examples and reviewer corrections, together with reliable delivery for a narrow content and guidance niche. Build a permissioned library of representative task cases, reviewer corrections and verified operating constraints for content teams and independent advisors producing written content and personal guidance. Repeatable delivery and useful integrations matter more than access to a base model.

Alternatives and positioning

Meeno, Intimal AI and Maia, plus generic writing assistants and manual spreadsheets. Compare this product with the buyer's present method on accepted drafts per editorial 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

Generation 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 reviewed drafts, scheduled posts and guidance notes linked to sources. Track cost per accepted output, including correction work, unsuccessful cases and support.

06

Safeguards

Preserve author voice, source attribution, quotation accuracy and usage permissions. Authors approve substantive changes and publication scope. Guidance on relationships and personal matters stays advisory; qualified human review is required for consequential advice. 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 6 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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