
Location scout visual continuity board
Compare locations against visual continuity rather than attractive photos alone.
- For
- Commercial production coordinators
- Solves
- Location choices look suitable but conflict with scene continuity.
- Delivers
- Location continuity comparison
- Built in
- about 3 weeks of creation time, MVP in 3 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 commercial production coordinators, turn permitted location photos and shot requirements into location continuity comparison.
- Tag visible scene attributes.
- Compare light direction notes.
- Match required backdrops.
- Flag missing angles.
- Collect scout clarifications.
- Export location brief.
What goes in, what comes out
- Permitted location photos
- Shot requirements
AI drafts, people review. Structured comparison and clarification workspace.
- Location continuity comparison
How it works
The workflow
- InStart with
Permitted location photos and shot requirements
- 1
The buyer creates a project
- 2
Supplies permitted location photos and shot requirements
- 3
Confirms scope and access
- OutFinish with
Location continuity comparison
AI does the heavy lifting, people stay in charge
Extract visible attributes and clearly mark uncertain lighting assumptions. 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: Location gallery, Continuity matrix, Scout questions. Use a side-by-side matrix with the same fields for every document or option. Clicking a value reveals its original passage. Highlight missing, different and uncertain items separately. Provide a clarification queue and reviewer annotations before exporting a decision pack. Open with location gallery; move into continuity matrix for the detailed task; finish in scout questions for review and handoff. Show the source record, uncertainty and approval status beside each proposed output.
Accounts and administration
Document versions, field definitions, source references, reviewer corrections, unresolved questions, comparison history and exportable matrices. 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
Existing artwork, campaign systems and client approval processes. Document repositories, procurement or contract records and spreadsheet exports. Preserve originals and avoid writing back interpretations without approval. Begin with uploads and exports of permitted location photos and shot requirements. 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
3 daysOne buyer segment, one recurring use case; first modules: tag visible scene attributes; compare light direction notes. Manual review in the loop. Built by our AI software factory.
- 3
Paid pilot
4 daysAccounts, roles, review states, audit trail and the first integration, hardened for two to three paying pilot customers.
- 4
Full product
6 daysSelf-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 commercial production coordinators use it to solve "location choices look suitable but conflict with scene continuity"?
- 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 rescout requests and missing shot requirements. Then expand, change course or stop, with evidence instead of opinions.
MVP scope for this solution. Costed pilot: Photo-based preparation; physical safety assessment excluded. Start with one buyer organization and a bounded set of representative inputs. Implement the first two modules: tag visible scene attributes; compare light direction notes. Support the third task through an assisted review queue: match required backdrops. Handle the remaining required functions manually until validated. Include input upload, source references, user correction, a reviewer approval step and export of location continuity comparison. 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 location continuity comparison, automate flag missing angles; collect scout clarifications; export location brief. 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. Photo-based preparation; physical safety assessment excluded.
What the build depends on. Document alignment, field provenance, unit normalization, missing-value handling and reviewer correction. Similar-looking documents may contain materially different terms. Obtain representative authorized inputs, an agreed review rubric and a buyer-side owner. Specific scope: Photo-based preparation; physical safety assessment excluded.
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: tag visible scene attributes; compare light direction notes. 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 3 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 | $50–$100 | $80–$160 |
| Full productabout 50 customers | $110–$210 | $350–$700 | $460–$910 |
Run it or resell it
For your own team
Commercial production coordinators run it inside the business: permitted location photos and shot requirements in, location continuity comparison 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
#914127 - accent
#54b8c9 - surface
#f1e8e4 - ink
#22201e
- Headings
- Sora
- Text
- Work Sans
- Voice
- Confident, visual, craft-proud
Selling it to your own clients: the go-to-market playbook
Pricing to test
Test USD 300-1,500 for one bounded comparison package, then USD 150-600 monthly for recurring volume with review limits. Complex expert interpretation is separately priced. Figures are hypotheses. For this buyer, package the first sale around compare three locations for one scene and the defined location continuity comparison. Record actual review effort before offering a recurring allowance. The commercial pilot fee is distinct from the platform development budget.
Message to test
Compare locations against visual continuity rather than attractive photos alone. Demonstrate the result with compare three locations for one scene for commercial production coordinators. Use a concrete before-and-after example without promising unmeasured savings.
Where to find buyers
Production coordinators and location scouts
Lead magnet
Compare three locations for one scene
The first 30 days
- Week 1: interview five prospective buyers from commercial production coordinators and inspect how they handle location choices look suitable but conflict with scene continuity.
- Week 2: prepare compare three locations for one scene using authorized or synthetic material.
- Week 3: share the demonstration through production coordinators and location scouts and seek one bounded paid pilot.
- Week 4: measure rescout requests and missing shot requirements, 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 compare three locations for one scene and deliver location continuity comparison. Compare rescout requests and missing shot requirements 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
Rescout requests and missing shot requirements
Retention and expansion
Build repeat use around location continuity comparison. Save approved configurations and review decisions with permission, revisit unresolved exceptions and show progress on rescout requests and missing shot requirements. 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
A niche comparison schema, reviewed extraction examples and clear handling of the differences that matter to a specific buyer. For this concept, accumulate permissioned examples and reviewer corrections around compare locations against visual continuity rather than attractive photos alone. The durable asset is reliable task-specific execution and trusted customer configuration, not access to a general-purpose AI model.
Alternatives and positioning
Spreadsheet comparisons, professional reviewers, document diff tools and manual quote or contract review. Position this concept around compare locations against visual continuity rather than attractive photos alone. 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
Document parsing, field alignment, source verification, expert interpretation, clarification rounds and changing document formats. Initial validation additionally budgets for licensed location images and scout review. Track model usage, storage, reviewer minutes, exception handling and customer support per accepted deliverable.
Safeguards
Protect supplied asset rights, client approvals and product fidelity. Do not reuse private client assets across accounts. Photo-based preparation; physical safety assessment excluded. Require appropriate access and publication approval. Preserve source material, label AI drafts and make corrections traceable. Measure false positives and missed cases alongside speed.