Screenshot of the Freelance writing scope-to-margin planner interactive demo
Screenshot of the interactive demo, on sample data

Freelance writing scope-to-margin planner

Quote sustainable packages using explicit effort assumptions.

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For
Specialist freelance writers
Solves
Fixed fees ignore research and revision uncertainty.
Delivers
Writer-approved commercial scope options
Built in
about 4 weeks of creation time, MVP in 5 days
Investment
$22,000 for the MVP, $50,000 for the full product
Run it
Inside your business, or as part of your offer to clients
01

What it does

Quote sustainable packages using explicit effort assumptions.

  1. Estimate bounded workload scenarios.
  2. Compare scope packages.
  3. Identify margin-sensitive unknowns.
  4. Compare the reviewed result with the recorded baseline and value assumptions.
  5. Capture corrections and named-owner approval before consequential use.
  6. Export a versioned writer-approved commercial scope options with source references and unresolved questions.

What goes in, what comes out

What the customer puts in
  • Writer-owned project histories
  • Approved brief assumptions

AI drafts, people review. Assumption-driven planning and decision workspace.

What the customer gets
  • Writer-approved commercial scope options
02

How it works

The workflow

  1. In
    Start with

    Writer-owned project histories and approved brief assumptions

  2. 1

    Confirm the buyer's problem and scope

  3. 2

    Collect writer-owned project histories and approved brief assumptions

  4. 3

    Then follow this sequence: 1

  5. Out
    Finish with

    Writer-approved commercial scope options

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. No market-rate claims; writer chooses prices and contractual terms. A model suggestion is never a verified fact, professional decision or authorization to act.

What your team sees

Primary screens: Constraint and input setup, Scenario comparison, Decision and pilot tracker. Place editable drivers and constraints beside a clearly labeled scenario output. Include a baseline view, comparison chart or schedule, and an assumptions history. Let users trace a proposed quantity or date back to its inputs. Keep forecasts distinct from actual results. Make the task-specific outcome writer-approved commercial scope options visible beside its evidence, review state and value baseline.

Accounts and administration

Scenario versions, baseline reconciliation, constraint checks, assumption ownership, reviewer approvals, plan exports and actual-versus-plan tracking. 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 manuscripts, authorized interviews and permitted research sources. Read-only operational exports, calendars and finance or inventory records as relevant. Start with plan exports and retain human approval for execution. 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: estimate bounded workload scenarios; compare scope packages. 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

    10 days

    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 specialist freelance writers use it to solve "fixed fees ignore research and revision uncertainty"?
  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: Realized project contribution after research editing and revisions.
  4. Measure, then decide. Track realized project contribution after research editing and revisions; 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: No market-rate claims; writer chooses prices and contractual terms. Implement one approved input format, a bounded representative case set and the first two task modules: estimate bounded workload scenarios; compare scope packages. Support the third module with operator review: identify margin-sensitive unknowns. 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 commercial scope options. Retain the explicit scope boundary: No market-rate claims; writer chooses prices and contractual terms.

What the build depends on. A defensible calculation model, explicit units, constraint validation and representative boundary tests. Advanced forecasting or optimization needs adequate historical data. Obtain representative authorized cases, baseline measurements, qualified reviewers and a buyer-side decision owner. Specific limitation: No market-rate claims; writer chooses prices and contractual terms.

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: estimate bounded workload scenarios; compare scope packages. Manual review in the loop.

    $22,000 · 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.

    $12,000 · about 6 days of creation time

  3. Phase 3

    Full product

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

    $16,000 · about 10 days of creation time

Indicative total, MVP to full product$50,000about 4 weeks of creation time · start with the MVP from $22,000

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$50–$100$80–$160
Full productabout 50 customers$110–$210$350–$700$460–$910
05

Run it or resell it

Internally

For your own team

Specialist freelance writers run it inside the business: writer-owned project histories and approved brief assumptions in, writer-approved commercial scope options 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#912c27
  • accent#54c9c5
  • surface#f1e5e4
  • ink#22201e
Headings
Fraunces
Text
Inter
Voice
Literate, generous, editorial
Selling it to your own clients: the go-to-market playbook

Pricing to test

Test USD 750-3,000 for a scoped planning setup and review, then USD 200-900 monthly for refreshes within agreed complexity. Data integration and optimization are separately scoped. All ranges are hypotheses. Package the initial sale as one bounded writer-approved commercial scope options. 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

Quote sustainable packages using explicit effort assumptions. Demonstrate a concrete writer-approved commercial scope options using the buyer's approved example and show the baseline, corrections and actual delivery effort.

Where to find buyers

Specialist freelance writers 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 commercial scope options from a small authorized input set, with a transparent calculation of realized project contribution after research editing and revisions and no promised savings.

The first 30 days

  1. Week 1: interview five specialist freelance writers and inspect a recent example of fixed fees ignore research and revision uncertainty.
  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 realized project contribution after research editing and revisions, 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: Realized project contribution after research editing and revisions. 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

Realized project contribution after research editing and revisions; 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 commercial scope options. 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 validated domain model, customer-approved constraints and forecast or decision history that improves practical planning. Build a permissioned library of representative task cases, reviewer corrections and verified operating constraints for specialist freelance writers. Repeatable delivery and useful integrations matter more than access to a base model.

Alternatives and positioning

Spreadsheets, planners, specialist forecasting tools and existing scheduling or configuration software. Compare this product with the buyer's present method on realized project contribution after research editing and revisions. Offer a bounded paid workflow instead of claiming broad autonomous expertise. Market uniqueness and competitor coverage are not verified.

Main delivery costs

Data preparation, domain modeling, validation, scenario computation, reviewer support and ongoing assumption maintenance. Additional initial validation requires representative authorized sample preparation, buyer interviews, buyer-side evaluation and bounded validation of writer-approved commercial scope options. 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. No market-rate claims; writer chooses prices and contractual terms. 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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