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Media interview commitment ledger

Interview promises are forgotten after the coverage appears. Track what spokespeople actually committed to in interviews.

PR and CommunicationsWritersExecutives and StrategyEvidence review and quality assurance workspace

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Demo screen of Media interview commitment ledger
Opportunity8Very strong
Problem6Real pain
Feasibility7Manageable
Why now7Good timing
💰 Investment$11,000 MVP$37,500 for the full product
🛠️ Build effort6/1022 days of creation time, MVP in 5 days
⚙️ Running costs$990–$1,960/moat about 50 customers
🧠 Right for you?Check your fitTen questions, instant answer

01The offer

For executive communications teams, turn authorized interview transcripts and approved commitments into interview commitment evidence brief. Address this specific problem: interview promises are forgotten after the coverage appears. The aim: track what spokespeople actually committed to in interviews. The pilot tests whether that benefit holds up against reviewer effort and real operating costs.

For
Executive communications teams
Takes in
Authorized interview transcripts and approved commitments
Delivers
Interview commitment evidence brief
Message
Track what spokespeople actually committed to in interviews. Demonstrate the result with review three authorized interviews for executive communications teams. Use a concrete before-and-after example without promising unmeasured savings.
Lead magnet
Review three authorized interviews

02How it works

  1. Extract stated commitments
  2. Preserve qualifying context
  3. Link approved positions
  4. Flag unsupported promises
  5. Assign follow-up owners
  6. Export briefing notes

Workflow

The buyer creates a project, supplies authorized interview transcripts and approved commitments, and confirms scope and access. The working sequence is: 1. Extract stated commitments. 2. Preserve qualifying context. 3. Link approved positions. 4. Flag unsupported promises. 5. Assign follow-up owners. 6. Export briefing notes. Users correct extracted facts, resolve flagged uncertainties and approve the final interview commitment evidence brief before use. Retain source links and a version history for the next cycle.

AI and people

Extract commitments while preserving uncertainty and context. 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.

Screens

Key screens: Interview evidence, Promise review, Follow-up tracker. Open on a review queue ordered by reviewer-selected priorities. Show each finding beside the original evidence and applicable rule. Provide accept, dismiss and needs-information controls with reasons. A separate report view summarizes confirmed findings and unresolved items, not raw AI flags. Open with interview evidence; move into promise review for the detailed task; finish in follow-up tracker for review and handoff. Show the source record, uncertainty and approval status beside each proposed output.

Admin

Versioned review criteria, evidence links, reviewer decisions, disagreement handling, correction assignments, recheck status and exportable review history. 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.

03Market gap

Alternatives buyers use today

Manual reviewers, checklists, generic scanning tools and specialist audit services. Position this concept around track what spokespeople actually committed to in interviews. 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.

Where this wins

A domain-specific review rubric and rights-cleared examples of confirmed defects, false alarms and reviewer reasoning. For this concept, accumulate permissioned examples and reviewer corrections around track what spokespeople actually committed to in interviews. The durable asset is reliable task-specific execution and trusted customer configuration, not access to a general-purpose AI model.

04Why now

PR and Communications teams are adopting AI for exactly this kind of repeatable work, and the cost of language and vision models has dropped far enough that a narrow, reviewed workflow pays back quickly. The buyer already feels the problem: interview promises are forgotten after the coverage appears.

05Proof & signals

Channels where buyers gather: Executive communications advisors and PR firms. Metrics that prove it works: Untracked commitments and review time.

Paid pilot

Agree the acceptance criteria, input limits and reviewer responsibilities before starting. Run review three authorized interviews and deliver interview commitment evidence brief. Compare untracked commitments and review 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.

06Execution plan

MVP

Costed pilot: Internal review; no covert recording. Start with one buyer organization and a bounded set of representative inputs. Implement the first two modules: extract stated commitments; preserve qualifying context. Support the third task through an assisted review queue: link approved positions. Handle the remaining required functions manually until validated. Include input upload, source references, user correction, a reviewer approval step and export of interview commitment evidence 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.

First 30 days

Week 1: interview five prospective buyers from executive communications teams and inspect how they handle interview promises are forgotten after the coverage appears. Week 2: prepare review three authorized interviews using authorized or synthetic material. Week 3: share the demonstration through executive communications advisors and PR firms and seek one bounded paid pilot. Week 4: measure untracked commitments and review 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.

After the pilot

After paying customers repeatedly accept interview commitment evidence brief, automate flag unsupported promises; assign follow-up owners; export briefing notes. 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. Internal review; no covert recording.

Retention

Build repeat use around interview commitment evidence brief. Save approved configurations and review decisions with permission, revisit unresolved exceptions and show progress on untracked commitments and review time. Offer a recurring volume allowance after repeat demand; expand to adjacent tasks only when the buyer asks and delivery quality remains acceptable.

Integrations

Approved company facts, permitted media sources and publication workflows. Source repositories, task trackers and report exports. Keep findings as review proposals until authorized owners accept the resulting actions. Begin with uploads and exports of authorized interview transcripts and approved commitments. Any named system or connector is a candidate requiring current access and compatibility checks; no live connection is included by default.

07Investment and running costs

PhaseScopeTimeBudget
MVPOne buyer segment, one recurring use case; first modules: extract stated commitments; preserve qualifying context. Manual review in the loop.5 days$11,000
Paid pilotAccounts, roles, review states, audit trail and the first integration, hardened for two to three paying pilot customers.6 days$11,000
Full productSelf-serve onboarding, billing, monitoring and the wider integration set.2 weeks$15,500
Total$37,500
RunningHostingAI usageTotal a month
MVP and paid pilot (about 3 customers)$30–$60$80–$160$110–$220
Full product (about 50 customers)$110–$210$880–$1,750$990–$1,960

Revenue model to test

Test USD 500-2,000 for a defined audit sample and report. Offer recurring review priced by reviewed items and specialist hours. Software-only access can follow a reliable reviewed service. All prices require validation. For this buyer, package the first sale around review three authorized interviews and the defined interview commitment evidence brief. Record actual review effort before offering a recurring allowance. The commercial pilot fee is distinct from the platform development budget.

Cost drivers

Document or media processing, model evaluation, expert review, false-positive handling, rechecks and customer-specific rubric calibration. Initial validation additionally budgets for transcript preparation and PR review. Track model usage, storage, reviewer minutes, exception handling and customer support per accepted deliverable.

Safeguards

Verify public facts and quotations. Keep publication authority explicit and preserve the original context behind media and reputation findings. Internal review; no covert recording. Require appropriate access and publication approval. Preserve source material, label AI drafts and make corrections traceable. Measure false positives and missed cases alongside speed.

Take it further

Newly authored additional batch of 210 concepts, dated 2026-09-22, for later import. Checked against the existing 413 catalog for exact title and ID duplication, with editorial review of overlap. Demand, differentiation, pricing, build hours, setup costs and integration feasibility are unvalidated planning hypotheses. Category inspiration links are inherited taxonomy references, not evidence that these concepts were covered there.