Screenshot of the Community newsletter fact room interactive demo
Screenshot of the interactive demo, on sample data

Community newsletter fact room

Small-community publishing with visible provenance.

Try the interactive demo Get this built for you

For
Neighborhood organizations
Solves
Volunteer editors cannot locate verified local facts.
Delivers
Editor-reviewed local fact brief
Built in
about 3 weeks of creation time, MVP in 3 days
Investment
$14,000 for the MVP, $47,500 for the full product
Run it
Inside your business, or as part of your offer to clients
01

What it does

For neighborhood organizations, turn permitted official notices and approved records into editor-reviewed local fact brief.

  1. Index source facts.
  2. Flag stale details.
  3. Draft cited snippets.
  4. Link proposed outputs to original source records.
  5. Capture reviewer corrections and approval.
  6. Export a versioned editor-reviewed local fact brief.

What goes in, what comes out

What the customer puts in
  • Permitted official notices
  • Approved records

AI drafts, people review. Source-linked assistant and administrator console.

What the customer gets
  • Editor-reviewed local fact brief
02

How it works

The workflow

  1. In
    Start with

    Permitted official notices and approved records

  2. 1

    The buyer creates a project

  3. 2

    Supplies permitted official notices and approved records

  4. 3

    Confirms scope and access

  5. Out
    Finish with

    Editor-reviewed local fact brief

AI does the heavy lifting, people stay in charge

AI assists these bounded tasks: index source facts; flag stale details; draft cited snippets. Use only permitted official notices and approved records and preserve uncertainty in editor-reviewed local fact brief. 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, Community newsletter fact room, Review and delivery. Give end users a simple search or conversation surface with short answers and expandable citations. Administrators get source status, unanswered questions and handoff queues. Show the source date beside relevant answers. Keep conversation context available to the staff member receiving an escalation. Open with brief and sources; move into community newsletter fact room 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 ownership, document permissions, freshness checks, conversation history, human handoff, feedback, test questions, usage limits and access logs. 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

Approved company facts, permitted media sources and publication workflows. Approved knowledge repositories, websites, service desks and staff messaging systems. Validate access inheritance and use read-only ingestion for the initial deployment. Begin with uploads and exports of permitted official notices and approved records. Any named system or connector is a candidate requiring current access and compatibility checks; no live connection is included by default.

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

    3 days

    One buyer segment, one recurring use case; first modules: index source facts; flag stale details. Manual review in the loop. Built by our AI software factory.

  3. 3

    Paid pilot

    4 days

    Accounts, roles, review states, audit trail and the first integration, hardened for two to three paying pilot customers.

  4. 4

    Full product

    8 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 neighborhood organizations use it to solve "volunteer editors cannot locate verified local facts"?
  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 the acceptance criteria, input limits and reviewer responsibilities before starting.
  4. Measure, then decide. Track unsupported local claims; 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 permitted official notices and approved records. 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: index source facts; flag stale details. Support the third task through an assisted review queue: draft cited snippets. Handle the remaining required functions manually until validated. Include input upload, source references, user correction, a reviewer approval step and export of editor-reviewed local fact brief. 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 editor-reviewed local fact brief, automate link proposed outputs to original source records; capture reviewer corrections and approval; export a versioned editor-reviewed local fact 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. One organization, one defined input format and one representative pilot batch using permitted official notices and approved records. Professional judgment, physical inspections, live external actions and production certification remain outside this prototype.

What the build depends on. Permission-filtered retrieval, document versioning, a question evaluation set, staff handoff and a source update process. Reliability depends on source quality and scope. 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 permitted official notices and approved records. Professional judgment, physical inspections, live external actions and production certification remain outside this prototype.

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: index source facts; flag stale details. Manual review in the loop.

    $14,000 · about 3 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.

    $14,000 · about 4 days of creation time

  3. Phase 3

    Full product

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

    $19,500 · about 8 days of creation time

Indicative total, MVP to full product$47,500about 3 weeks of creation time · start with the MVP from $14,000

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$60–$120$90–$180
Full productabout 50 customers$110–$210$530–$1,050$640–$1,260
05

Run it or resell it

Internally

For your own team

Neighborhood organizations run it inside the business: permitted official notices and approved records in, editor-reviewed local fact brief 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.

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  • accent#5cc954
  • surface#ece4f1
  • ink#22201e
Headings
Space Grotesk
Text
Inter
Voice
Articulate, timely, composed
Selling it to your own clients: the go-to-market playbook

Pricing to test

Test USD 500-2,000 setup plus USD 150-600 monthly for one defined source collection and usage allowance. Price multi-location deployments and specialist support separately. Validate willingness to pay; these are hypotheses. For this buyer, package the first sale around prepare a sample editor-reviewed local fact brief from a small authorized set of permitted official notices and approved records and the defined editor-reviewed local fact brief. Record actual review effort before offering a recurring allowance. The commercial pilot fee is distinct from the platform development budget.

Message to test

Small-community publishing with visible provenance. Demonstrate the result with prepare a sample editor-reviewed local fact brief from a small authorized set of permitted official notices and approved records for neighborhood organizations. Use a concrete before-and-after example without promising unmeasured savings.

Where to find buyers

Communications associations and PR agency networks

Lead magnet

Prepare a sample editor-reviewed local fact brief from a small authorized set of permitted official notices and approved records

The first 30 days

  1. Week 1: interview five prospective buyers from neighborhood organizations and inspect how they handle volunteer editors cannot locate verified local facts.
  2. Week 2: prepare prepare a sample editor-reviewed local fact brief from a small authorized set of permitted official notices and approved records using authorized or synthetic material.
  3. Week 3: share the demonstration through communications associations and PR agency networks and seek one bounded paid pilot.
  4. Week 4: measure unsupported local claims; 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 editor-reviewed local fact brief from a small authorized set of permitted official notices and approved records and deliver editor-reviewed local fact brief. Compare unsupported local claims; 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

Unsupported local claims; reviewer correction minutes; buyer acceptance and repeat purchase

Retention and expansion

Build repeat use around editor-reviewed local fact brief. Save approved configurations and review decisions with permission, revisit unresolved exceptions and show progress on unsupported local claims; 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

A maintained domain knowledge collection, realistic evaluation questions, useful escalation paths and integrations in the customer’s daily work. For this concept, accumulate permissioned examples and reviewer corrections around small-community publishing with visible provenance. The durable asset is reliable task-specific execution and trusted customer configuration, not access to a general-purpose AI model.

Alternatives and positioning

Manual search, static FAQs, general chat tools and support or intranet suites. Position this concept around small-community publishing with visible provenance. 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 ingestion, retrieval and generation, source maintenance, support, evaluation and staff time handling unresolved cases. Initial validation additionally budgets for representative sample preparation, interviews with neighborhood organizations, and buyer-side review of editor-reviewed local fact brief. Track model usage, storage, reviewer minutes, exception handling and customer support per accepted deliverable.

06

Safeguards

Verify public facts and quotations. Keep publication authority explicit and preserve the original context behind media and reputation findings. One organization, one defined input format and one representative pilot batch using permitted official notices and approved records. 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.

Get this solution built

Built for you by our AI software factory, MVP in about 3 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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