
Peer-review response evidence planner
Every response tied to an actual manuscript change or stated rationale.
- For
- Academic authors revising manuscripts
- Solves
- Response letters lose track of which changes address each comment.
- Delivers
- Coauthor-approved review response pack
- Built in
- about 4 weeks of creation time, MVP in 5 days
- Investment
- $12,000 for the MVP, $41,000 for the full product
- Run it
- Inside your business, or as part of your offer to clients
What it does
For academic authors revising manuscripts, turn authorized reviewer comments and manuscript versions into coauthor-approved review response pack.
- Separate reviewer requests.
- Link manuscript changes.
- Flag unanswered points.
- Draft factual responses.
- Track coauthor approval.
- Export response letters.
What goes in, what comes out
- Authorized reviewer comments
- Manuscript versions
AI drafts, people review. Source-based content workspace with editorial delivery.
- Coauthor-approved review response pack
How it works
The workflow
- InStart with
Authorized reviewer comments and manuscript versions
- 1
The buyer creates a project
- 2
Supplies authorized reviewer comments and manuscript versions
- 3
Confirms scope and access
- OutFinish with
Coauthor-approved review response pack
AI does the heavy lifting, people stay in charge
Draft responses from documented revisions only. Keep model suggestions separate from verified facts. Link factual outputs to authorized input evidence and show missing information explicitly. Use deterministic checks for counts, dates, identifiers and arithmetic where applicable. A designated reviewer validates consequential outputs and signs off the delivered result.
What your team sees
Key screens: Comment matrix, Revision evidence, Response draft. Use a project list and editorial calendar beside a document editor. Keep original material and supporting passages in a collapsible side panel. Show outline, draft, review and approved stages. Provide tracked edits, comments, version comparisons and an export preview that reflects the final delivery format. Open with comment matrix; move into revision evidence for the detailed task; finish in response draft for review and handoff. Show the source record, uncertainty and approval status beside each proposed output.
Accounts and administration
Client workspaces, source permissions, editorial assignments, change history, reviewer comments, approval gates, revision allowances and export templates. Include organization-scoped access, named project owners, review queues, usage limits, export history and retention settings. Never reuse private customer material for other accounts without permission.
Integrations and data access
Authorized datasets, papers, protocols, code and research records. Document storage, word processor export, content management systems and approved publishing channels. Pilot with uploads and downloadable drafts before adding write integrations. Begin with uploads and exports of authorized reviewer comments and manuscript versions. Any named system or connector is a candidate requiring current access and compatibility checks; no live connection is included by default.
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
Scoping call
Day 1Thirty 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
MVP
5 daysOne buyer segment, one recurring use case; first modules: separate reviewer requests; link manuscript changes. Manual review in the loop. Built by our AI software factory.
- 3
Paid pilot
6 daysAccounts, roles, review states, audit trail and the first integration, hardened for two to three paying pilot customers.
- 4
Full product
2 weeksSelf-serve onboarding, billing, monitoring and the wider integration set.
- 5
Run and improve
MonthlyWe 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.
- Pick the riskiest assumption. Here: will academic authors revising manuscripts use it to solve "response letters lose track of which changes address each comment"?
- Build only what tests it. One team, one use case, a few core modules. People do the rest by hand for now.
- Run a paid pilot. Agree the acceptance criteria, input limits and reviewer responsibilities before starting.
- Measure, then decide. Track unanswered comments and response preparation time. Then expand, change course or stop, with evidence instead of opinions.
MVP scope for this solution. Costed pilot: No fabricated analyses or claims of changes not made. Start with one buyer organization and a bounded set of representative inputs. Implement the first two modules: separate reviewer requests; link manuscript changes. Support the third task through an assisted review queue: flag unanswered points. Handle the remaining required functions manually until validated. Include input upload, source references, user correction, a reviewer approval step and export of coauthor-approved review response pack. Authentication, account isolation, deletion controls and basic operational logging are included. Specialized production certification, live write integrations and broader rollout are not included unless explicitly stated.
After the MVP. After paying customers repeatedly accept coauthor-approved review response pack, automate draft factual responses; track coauthor approval; export response letters. Add one tested read integration, reusable customer configuration and scheduled repeat delivery. Increase supported formats or teams only when evaluation cases and reviewer capacity cover the new scope. No fabricated analyses or claims of changes not made.
What the build depends on. Document parsing, a source-linked editor, tracked revisions, reviewer workflow and reliable document export. Rich presentation or print output needs format-specific QA. Obtain representative authorized inputs, an agreed review rubric and a buyer-side owner. Specific scope: No fabricated analyses or claims of changes not made.
Investment
A planning range to start the conversation, not a quote. You pay per phase, so you can stop after the MVP.
- Phase 1
MVP
One buyer segment, one recurring use case; first modules: separate reviewer requests; link manuscript changes. Manual review in the loop.
- Phase 2
Paid pilot
Accounts, roles, review states, audit trail and the first integration, hardened for two to three paying pilot customers.
- Phase 3
Full product
Self-serve onboarding, billing, monitoring and the wider integration set.
Indicative total, MVP to full product$41,000about 4 weeks of creation time · start with the MVP from $12,000
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.
| Stage | Hosting and infrastructure | AI usage | Total 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 |
Run it or resell it
For your own team
Academic authors revising manuscripts run it inside the business: authorized reviewer comments and manuscript versions in, coauthor-approved review response pack out, reviewed by your people.
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
#912737 - accent
#54c99e - surface
#f1e4e6 - ink
#22201e
- Headings
- Fraunces
- Text
- Inter
- Voice
- Rigorous, transparent, cited
Selling it to your own clients: the go-to-market playbook
Pricing to test
Test USD 400-1,500 for a tightly scoped initial content package. Convert repeated work to a monthly retainer with explicit deliverable and revision limits. Specialist review and substantial research are separately scoped. Prices are hypotheses. For this buyer, package the first sale around map one review round and the defined coauthor-approved review response pack. Record actual review effort before offering a recurring allowance. The commercial pilot fee is distinct from the platform development budget.
Message to test
Every response tied to an actual manuscript change or stated rationale. Demonstrate the result with map one review round for academic authors revising manuscripts. Use a concrete before-and-after example without promising unmeasured savings.
Where to find buyers
University writing centers and researcher communities
Lead magnet
Map one review round
The first 30 days
- Week 1: interview five prospective buyers from academic authors revising manuscripts and inspect how they handle response letters lose track of which changes address each comment.
- Week 2: prepare map one review round using authorized or synthetic material.
- Week 3: share the demonstration through university writing centers and researcher communities and seek one bounded paid pilot.
- Week 4: measure unanswered comments and response preparation time, review delivery effort and ask for a repeat purchase. This is a validation schedule, not a promise that the full product can be built in thirty days.
Paid pilot
Agree the acceptance criteria, input limits and reviewer responsibilities before starting. Run map one review round and deliver coauthor-approved review response pack. Compare unanswered comments and response preparation time with the buyer's current process on comparable cases; include corrections, missed issues and reviewer time. Seek payment and repeat use. Stop or revise the scope if data access, accuracy or unit economics fail.
Success metrics
Unanswered comments and response preparation time
Retention and expansion
Build repeat use around coauthor-approved review response pack. Save approved configurations and review decisions with permission, revisit unresolved exceptions and show progress on unanswered comments and response preparation time. Offer a recurring volume allowance after repeat demand; expand to adjacent tasks only when the buyer asks and delivery quality remains acceptable.
Why clients would pick it
Customer-approved terminology, reusable structures, source libraries and editorial feedback tied to a specific audience and recurring publishing workflow. For this concept, accumulate permissioned examples and reviewer corrections around every response tied to an actual manuscript change or stated rationale. The durable asset is reliable task-specific execution and trusted customer configuration, not access to a general-purpose AI model.
Alternatives and positioning
Writers, editors, agencies, internal document templates and general-purpose chat tools. Position this concept around every response tied to an actual manuscript change or stated rationale. Compare it against the customer's current process on the same representative task. This is proposed differentiation; no exhaustive competitor study or uniqueness claim has been established.
Main delivery costs
Research and interview time, transcription, model usage, factual verification, subject-matter review, editing and revisions. Initial validation additionally budgets for researcher editorial review. Track model usage, storage, reviewer minutes, exception handling and customer support per accepted deliverable.
Safeguards
Preserve original data, methods, citations and research limitations. Use researcher review and document every substantive transformation. No fabricated analyses or claims of changes not made. Require appropriate access and publication approval. Preserve source material, label AI drafts and make corrections traceable. Measure false positives and missed cases alongside speed.