
Building shared-space rule clarity lab
Clear practical rules without eligibility profiling.
- For
- Residential community managers
- Solves
- Residents interpret shared-space rules differently.
- Delivers
- Manager-reviewed comprehension report
- Built in
- about 5 weeks of creation time, MVP in 5 days
- Investment
- $12,500 for the MVP, $42,500 for the full product
- Run it
- Inside your business, or as part of your offer to clients
What it does
For residential community managers, turn approved house rules and voluntary feedback into manager-reviewed comprehension report.
- Collect interpretations.
- Compare intended procedures.
- Draft clarification options.
- Link proposed outputs to original source records.
- Capture reviewer corrections and approval.
- Export a versioned manager-reviewed comprehension report.
What goes in, what comes out
- Approved house rules
- Voluntary feedback
AI drafts, people review. Research evidence workspace with reviewed deliverables.
- Manager-reviewed comprehension report
How it works
The workflow
- InStart with
Approved house rules and voluntary feedback
- 1
The buyer creates a project
- 2
Supplies approved house rules and voluntary feedback
- 3
Confirms scope and access
- OutFinish with
Manager-reviewed comprehension report
AI does the heavy lifting, people stay in charge
AI assists these bounded tasks: collect interpretations; compare intended procedures; draft clarification options. Use only approved house rules and voluntary feedback and preserve uncertainty in manager-reviewed comprehension report. 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: Brief and sources, Building shared-space rule clarity lab, Review and delivery. Organize work by research question. Show a source library, an evidence matrix and a draft findings panel with linked quotations. Keep contradictory findings and unanswered questions visible. Allow reviewers to inspect the original context before accepting an interpretation. Open with brief and sources; move into building shared-space rule clarity lab for the detailed task; finish in review and delivery for review and handoff. Show the source record, uncertainty and approval status beside each proposed output.
Accounts and administration
Source provenance, participant consent where applicable, research questions, coding definitions, reviewer disagreements, citations and versioned conclusions. 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
Property records, construction documents, project photos and supplier quotes. Permitted research libraries, interview recording imports, citation exports and document editors. Preserve original source metadata throughout the workflow. Begin with uploads and exports of approved house rules and voluntary feedback. 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: collect interpretations; compare intended procedures. 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 residential community managers use it to solve "residents interpret shared-space rules differently"?
- 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 incorrect rule interpretations; reviewer correction minutes; buyer acceptance and repeat purchase. Then expand, change course or stop, with evidence instead of opinions.
MVP scope for this solution. Costed pilot: One organization, one defined input format and one representative pilot batch using approved house rules and voluntary feedback. Professional judgment, physical inspections, live external actions and production certification remain outside this prototype. Start with one buyer organization and a bounded set of representative inputs. Implement the first two modules: collect interpretations; compare intended procedures. Support the third task through an assisted review queue: draft clarification options. Handle the remaining required functions manually until validated. Include input upload, source references, user correction, a reviewer approval step and export of manager-reviewed comprehension report. 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 manager-reviewed comprehension report, automate link proposed outputs to original source records; capture reviewer corrections and approval; export a versioned manager-reviewed comprehension report. 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. One organization, one defined input format and one representative pilot batch using approved house rules and voluntary feedback. Professional judgment, physical inspections, live external actions and production certification remain outside this prototype.
What the build depends on. A clear research protocol, source access, citation tracking and qualified interpretation. Interview work also needs relevant participants and consent management. Obtain representative authorized inputs, an agreed review rubric and a buyer-side owner. Specific scope: One organization, one defined input format and one representative pilot batch using approved house rules and voluntary feedback. Professional judgment, physical inspections, live external actions and production certification remain outside this prototype.
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: collect interpretations; compare intended procedures. 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$42,500about 5 weeks of creation time · start with the MVP from $12,500
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 | $80–$160 | $110–$220 |
| Full productabout 50 customers | $110–$210 | $880–$1,750 | $990–$1,960 |
Run it or resell it
For your own team
Residential community managers run it inside the business: approved house rules and voluntary feedback in, manager-reviewed comprehension report 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
#91277c - accent
#54c96a - surface
#f1e4ee - ink
#22201e
- Headings
- Sora
- Text
- Work Sans
- Voice
- Solid, practical, on-schedule
Selling it to your own clients: the go-to-market playbook
Pricing to test
Test USD 750-3,000 for one tightly bounded research question and evidence pack. Participant recruitment, specialist review and licensed data are separately scoped. Repeat tracking can become a retainer. Prices are hypotheses. For this buyer, package the first sale around prepare a sample manager-reviewed comprehension report from a small authorized set of approved house rules and voluntary feedback and the defined manager-reviewed comprehension report. Record actual review effort before offering a recurring allowance. The commercial pilot fee is distinct from the platform development budget.
Message to test
Clear practical rules without eligibility profiling. Demonstrate the result with prepare a sample manager-reviewed comprehension report from a small authorized set of approved house rules and voluntary feedback for residential community managers. Use a concrete before-and-after example without promising unmeasured savings.
Where to find buyers
Property and contractor associations and project documentation consultants
Lead magnet
Prepare a sample manager-reviewed comprehension report from a small authorized set of approved house rules and voluntary feedback
The first 30 days
- Week 1: interview five prospective buyers from residential community managers and inspect how they handle residents interpret shared-space rules differently.
- Week 2: prepare prepare a sample manager-reviewed comprehension report from a small authorized set of approved house rules and voluntary feedback using authorized or synthetic material.
- Week 3: share the demonstration through property and contractor associations and project documentation consultants and seek one bounded paid pilot.
- Week 4: measure incorrect rule interpretations; reviewer correction minutes; buyer acceptance and repeat purchase, 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 prepare a sample manager-reviewed comprehension report from a small authorized set of approved house rules and voluntary feedback and deliver manager-reviewed comprehension report. Compare incorrect rule interpretations; reviewer correction minutes; buyer acceptance and repeat purchase 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
Incorrect rule interpretations; reviewer correction minutes; buyer acceptance and repeat purchase
Retention and expansion
Build repeat use around manager-reviewed comprehension report. Save approved configurations and review decisions with permission, revisit unresolved exceptions and show progress on incorrect rule interpretations; reviewer correction minutes; buyer acceptance and repeat purchase. 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
Niche research protocols, credible researcher relationships and a rights-cleared evidence archive with consistent interpretation methods. For this concept, accumulate permissioned examples and reviewer corrections around clear practical rules without eligibility profiling. The durable asset is reliable task-specific execution and trusted customer configuration, not access to a general-purpose AI model.
Alternatives and positioning
Research consultants, internal analysts, literature databases and general search or summarization tools. Position this concept around clear practical rules without eligibility profiling. 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
Researcher time, source access, participant recruitment, transcription, evidence coding, expert review and report revisions. Initial validation additionally budgets for representative sample preparation, interviews with residential community managers, and qualified domain review of manager-reviewed comprehension report. Track model usage, storage, reviewer minutes, exception handling and customer support per accepted deliverable.
Safeguards
Verify property facts and scope assumptions. Clearly label visual alterations. Professional reviewers retain responsibility for contracts, engineering and legal interpretations. One organization, one defined input format and one representative pilot batch using approved house rules and voluntary feedback. Professional judgment, physical inspections, live external actions and production certification remain outside this prototype. Require appropriate access and publication approval. Preserve source material, label AI drafts and make corrections traceable. Measure false positives and missed cases alongside speed.