
Research feed curation and briefing workbench
Reduce time spent scanning while keeping every claim traceable to its source.
- For
- Research leads, analysts and knowledge teams who must follow many sources without information overload
- Solves
- Relevant articles and papers are scattered across many feeds, repeated across outlets, and too long to read, so important changes are missed and time is lost to scanning.
- Delivers
- Reviewed daily briefing linked to original sources
- Built in
- about 5 weeks of creation time, MVP in 5 days
- Investment
- $11,500 for the MVP, $39,000 for the full product
- Run it
- Inside your business, or as part of your offer to clients
What it does
Reduce time spent scanning while keeping every claim traceable to its source.
- Ingest articles and papers from many permitted sources.
- Rank items against stated interests and past feedback.
- Adapt rankings from user feedback and shared links.
- Summarize long articles and papers into key points.
- Group duplicate stories covering the same event.
- Mute items outside user-specified interests.
- Accept examples and corrections to refine recommendations.
- Provide a distraction-free reading view.
- Support highlighting and notes inside items.
- Generate simple visuals for quick scans.
- Let users select categories that shape the feed.
- Link every summary back to the original paper or article.
- Compare the reviewed result with the recorded baseline and value assumptions.
- Capture corrections and named-owner approval before sending briefings.
- Export a versioned reviewed daily briefing linked to original sources with source references and unresolved questions.
Everything these tools do, in one app
- AI-curated content feed Surfaces articles and research from many sources based on user interests.Found in Feedly Leo, Waverly, Soch
- Personalized recommendations Adapts the feed to user preferences using feedback and shared links.Found in Feedly Leo, Waverly, Soch
- Article summarization Condenses lengthy articles or papers into key points for quick reading.Found in Feedly Leo, Waverly, Soch
- Content deduplication Removes repetitive news stories to prevent information overload.Found in Feedly Leo
- Irrelevant content muting Filters out content that does not match user-specified interests.Found in Feedly Leo
- Trainable AI Allows users to provide examples and feedback to refine recommendations over time.Found in Feedly Leo
- Distraction-free reading Provides a focused reading interface that minimizes distractions.Found in Waverly
- Annotation tools Enables note-taking and highlighting within articles for better retention.Found in Waverly
- Platform integrations Connects with tools like Gmail, Salesforce, PowerPoint, Slack, and Teams to incorporate content into workflows.Found in Waverly
- AI-generated visuals Creates visual aids to help ideas stick during quick scans.Found in Soch
- Category selection Lets users choose from many categories to shape their feed.Found in Soch
- Original source links Provides links back to original papers for verification and deeper reading.Found in Soch
What goes in, what comes out
- Licensed feeds
- Saved searches
- User interest profiles
- Feedback
AI drafts, people review. Watchlist, change detection and briefing subscription.
- Reviewed daily briefing linked to original sources
How it works
The workflow
- InStart with
Licensed feeds, saved searches, user interest profiles and feedback
- 1
Confirm the buyer's problem and scope
- 2
Collect licensed feeds
- 3
Saved searches
- 4
User interest profiles and feedback
- 5
Then follow this sequence: 1
- OutFinish with
Reviewed daily briefing linked to original sources
AI does the heavy lifting, people stay in charge
Use AI to interpret permitted inputs, suggest structured mappings and generate candidate outputs for the three stated task modules. Use deterministic code for arithmetic, schema validation, hard constraints and reproducible tests. Review source-linked explanations and uncertainty before accepting results. Summaries must stay traceable to the original item; final editorial judgment and interpretation remain human. A model suggestion is never a verified fact, professional decision or authorization to act.
What your team sees
Primary screens: Interest and source setup, Reviewed briefing, Item detail and archive. Use a feed list for sources, a central briefing canvas grouped by topic, and a right-hand panel for summaries, annotations and source links. Let users compare duplicate stories side by side. Display draft, changes requested and approved states. Provide a shareable briefing link with comments anchored to the relevant item. Make the task-specific outcome a reviewed daily briefing linked to original sources visible beside its evidence, review state and value baseline.
Accounts and administration
Source ownership, feed versions, user comments, approval states, usage allowances, item limits, download history and a rights record for supplied material. Add organization access boundaries, named reviewers, usage caps, data retention controls, export logs and explicit approval for external actions.
Integrations and data access
Publisher and repository feeds, saved searches, email digests and permitted research sources. Cloud storage, document import/export and briefing destinations. Start with file exchange and validate destination specifications before promising direct publishing. Start with authorized file exchange. Validate current provider access, usage rights and schema behavior before promising a connector.
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: ingest articles and papers from many permitted sources; rank items against stated interests and past feedback. 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 research leads, analysts and knowledge teams who must follow many sources without information overload use it to solve "relevant articles and papers are scattered across many feeds, repeated across outlets, and too long to read, so important changes are missed and time is lost to scanning"?
- 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 quality and outcome thresholds before the pilot using this measure: Relevant items surfaced per review hour and briefing items later confirmed useful.
- Measure, then decide. Track relevant items surfaced per review hour and briefing items later confirmed useful; accepted-output rate; material error rate; reviewer correction time; actual repeat purchase. Then expand, change course or stop, with evidence instead of opinions.
MVP scope for this solution. Pilot scope: One topic area and a fixed source list; summaries and rankings remain reviewable and every item links to its original source. Implement one approved input format, a bounded representative case set and the first two task modules: ingest articles and papers from many permitted sources; rank items against stated interests and past feedback. Support the third module with operator review: summarize long articles and papers into key points. Include source references, corrections, basic organization access, approval states, export and value measurement. Use managed operator assistance for unresolved exceptions. The cost estimate covers this narrow prototype, not unrestricted multi-tenant scale, complex production integrations, specialist certification or physical operations.
After the MVP. Once paid pilots prove usefulness, automate repeatable reviewed steps and add one verified source integration. Expand supported inputs and case volume only after new evaluation cases pass. Build reusable customer configurations and recurring value reports around a reviewed daily briefing linked to original sources. Retain the explicit scope boundary: One topic area and a fixed source list; summaries and rankings remain reviewable and every item links to its original source.
What the build depends on. Source upload and preview, asynchronous processing jobs, editable version history, reviewer access and tested export formats. High-fidelity briefings require specialist editorial QA. Obtain representative authorized cases, baseline measurements, qualified reviewers and a buyer-side decision owner. Specific limitation: One topic area and a fixed source list; summaries and rankings remain reviewable and every item links to its original source.
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: ingest articles and papers from many permitted sources; rank items against stated interests and past feedback. 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$39,000about 5 weeks of creation time · start with the MVP from $11,500
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 | $50–$100 | $80–$160 |
| Full productabout 50 customers | $110–$210 | $350–$700 | $460–$910 |
Run it or resell it
For your own team
Research leads, analysts and knowledge teams who must follow many sources without information overload run it inside the business: licensed feeds, saved searches, user interest profiles and feedback in, reviewed daily briefing linked to original sources 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
#912755 - accent
#54c99e - surface
#f1e4ea - ink
#22201e
- Headings
- Libre Baskerville
- Text
- IBM Plex Sans
- Voice
- Rigorous, transparent, cited
Selling it to your own clients: the go-to-market playbook
Pricing to test
Test a USD 300-1,500 fixed pilot for one defined topic area. Offer a monthly briefing allowance after repeat demand. Quote complex multi-team or specialist source work separately. These are test prices, not market benchmarks. Package the initial sale as one bounded reviewed daily briefing linked to original sources. Recurring fees must specify volume, review depth and integration support. For exchanges, test a disclosed coordination or successful-service fee rather than holding customer funds. Reprice only after measuring real delivery labor; platform-build cost is separate from a commercial pilot fee.
Message to test
Reduce time spent scanning while keeping every claim traceable to its source. Demonstrate a concrete reviewed daily briefing linked to original sources using the buyer's approved example and show the baseline, corrections and actual delivery effort.
Where to find buyers
Research leads, analysts and knowledge teams professional communities; specialist consultants serving this buyer; permissioned partner introductions; practical demonstrations at relevant trade or practitioner events.
Lead magnet
A reviewed sample reviewed daily briefing linked to original sources from a small authorized input set, with a transparent calculation of relevant items surfaced per review hour and briefing items later confirmed useful and no promised savings.
The first 30 days
- Week 1: interview five research leads, analysts and knowledge teams who must follow many sources without information overload and inspect a recent example of relevant articles and papers scattered across many feeds, repeated across outlets, and too long to read.
- Week 2: prepare a consented or synthetic demonstration of the three task modules.
- Week 3: seek one bounded paid pilot with agreed baseline and acceptance criteria.
- Week 4: measure relevant items surfaced per review hour and briefing items later confirmed useful, reviewer effort and repeat-purchase interest. This is a demand-validation plan, not a thirty-day full-product delivery promise.
Paid pilot
Agree quality and outcome thresholds before the pilot using this measure: Relevant items surfaced per review hour and briefing items later confirmed useful. Continue only if the buyer accepts the actual output, the intended job outcome improves without unacceptable errors, and measured delivery cost fits willingness to pay. Revise or stop if access is unavailable, qualified review cannot be provided, or apparent savings disappear after corrections and support. Use held-out cases when comparing model quality; use a properly reviewed comparison design before making causal claims. Record missing cases and negative results alongside successful outputs.
Success metrics
Relevant items surfaced per review hour and briefing items later confirmed useful; accepted-output rate; material error rate; reviewer correction time; actual repeat purchase.
Retention and expansion
Repeat the workflow when the buyer again needs a reviewed daily briefing linked to original sources. Retain permissioned settings and reviewed examples, report realized value honestly, and sell increased volume or adjacent approved workflows only after contribution margin and quality remain acceptable.
Why clients would pick it
A reusable library of approved sources, interest profiles and review examples, together with reliable delivery for a narrow research niche. Build a permissioned library of representative task cases, reviewer corrections and verified operating constraints for research leads, analysts and knowledge teams who must follow many sources without information overload. Repeatable delivery and useful integrations matter more than access to a base model.
Alternatives and positioning
Feedly Leo, Waverly, Soch, manual feed reading and generic summarization tools. Compare this product with the buyer's present method on relevant items surfaced per review hour and briefing items later confirmed useful. Offer a bounded paid workflow instead of claiming broad autonomous expertise. Market uniqueness and competitor coverage are not verified.
Main delivery costs
Ingestion and processing, storage, reviewer hours, client revision rounds and licensed source access. Additional initial validation requires representative authorized sample preparation, buyer interviews, buyer-side evaluation and bounded validation of a reviewed daily briefing linked to original sources. Track cost per accepted output, including correction work, unsuccessful cases and support.
Safeguards
Preserve source attribution, quotation accuracy and usage permissions. Named editors approve substantive changes and briefing scope. One topic area and a fixed source list; summaries and rankings remain reviewable and every item links to its original source. Keep all consequential actions under authorized human control and do not fabricate missing inputs, permissions, professional judgments or market evidence.