
Source-based article production and publishing workspace
Reduce tool sprawl and manual handoffs while keeping editorial control.
- For
- Content leads and marketing teams running one or more owned blogs
- Solves
- Articles are drafted, optimized and published across several rented tools, so the workflow, the data and the brand stay outside the team's control.
- Delivers
- Editor-approved articles published to the team's own site
- Built in
- about 4 weeks of creation time, MVP in 4 days
- Investment
- $13,000 for the MVP, $44,000 for the full product
- Run it
- Inside your business, or as part of your offer to clients
What it does
Reduce tool sprawl and manual handoffs while keeping editorial control.
- Generate full article drafts from approved sources.
- Optimize drafts for search intent and on-page structure.
- Suggest topic ideas from the team's niche and past posts.
- Analyze target and related keywords.
- Publish approved articles to WordPress.
- Scan drafts for plagiarism before approval.
- Fetch and attach featured images with usage records.
- Produce drafts in the team's supported languages.
- Run batch production of long-form drafts.
- Rewrite existing posts on request.
- Apply the team's tone and style rules.
- Convert approved videos into draft posts.
- Add internal links between related articles.
- Submit approved URLs for indexing.
- Track rankings over time.
- Organize ideas, outlines and titles in one dashboard.
- Compare the reviewed result with the recorded baseline and value assumptions.
- Capture corrections and named-owner approval before publishing.
- Export a versioned editor-approved article set with source references and unresolved questions.
Everything these tools do, in one app
- Automated article generation Creates full blog articles automatically using AI models.Found in GetBotz, AutoBlogging.pro, Content At Scale and 1 more
- SEO optimization Optimizes articles for search engines to improve rankings.Found in GetBotz, AutoBlogging.pro, Content At Scale and 1 more
- Article ideas Generates topic ideas for blog posts.Found in GetBotz, RightBlogger
- Keyword analysis Analyzes keywords to target content effectively.Found in GetBotz, AutoBlogging.pro, RightBlogger
- WordPress integration Publishes articles directly to WordPress.Found in GetBotz, AutoBlogging.pro, Content At Scale and 1 more
- Plagiarism checking Scans content for plagiarism to ensure originality.Found in AutoBlogging.pro, Content At Scale
- Featured image automation Automatically fetches and uploads images for articles.Found in AutoBlogging.pro
- Multilingual support Creates content in multiple languages.Found in AutoBlogging.pro
- High-speed production Generates many long-form articles quickly.Found in Content At Scale
- AI detection bypass Produces content that avoids AI detection tools.Found in Content At Scale
- Content rewriting Rewrites existing content to improve or change it.Found in RightBlogger
- Custom tone Adapts writing style and tone to match user preferences.Found in RightBlogger
- Video-to-blog conversion Transforms YouTube videos into blog posts.Found in RightBlogger
- Internal linking Adds internal links to articles for better SEO.Found in GetBotz
- Google indexing submission Submits articles to Google for faster indexing.Found in GetBotz
- Ranking monitoring Tracks Google rankings over time to measure performance.Found in GetBotz
- Content dashboard Organizes blog post ideas, outlines, and titles in one place.Found in RightBlogger
What goes in, what comes out
- Approved sources
- Keyword lists
- Brand rules
- Publishing settings
AI drafts, people review. Source-based content workspace with editorial delivery.
- Editor-approved articles published to the team's own site
How it works
The workflow
- InStart with
Approved sources, keyword lists, brand rules and publishing settings
- 1
Confirm the buyer's problem and scope
- 2
Collect approved sources
- 3
Keyword lists
- 4
Brand rules and publishing settings
- 5
Then follow this sequence: 1
- OutFinish with
Editor-approved articles published to the team's own site
AI does the heavy lifting, people stay in charge
Use AI to interpret permitted inputs, suggest structured mappings and generate candidate outputs for the stated task modules. Use deterministic code for arithmetic, schema validation, hard constraints and reproducible tests. Review source-linked explanations and uncertainty before accepting results. One owned blog and one approved source set; final fact, tone and publication checks remain editorial. A model suggestion is never a verified fact, professional decision or authorization to act.
What your team sees
Primary screens: Source and brief intake, Editable article workspace, Editorial review and publishing. Use a thumbnail gallery for articles, a large central editing canvas, and a right-hand panel for sources, keywords, brand rules and comments. Let users compare versions side by side. Display draft, changes requested and approved states. Provide a client preview link with comments anchored to the relevant paragraph. Make the task-specific outcome editor-approved articles published to the team's own site visible beside its evidence, review state and value baseline.
Accounts and administration
Project ownership, source versions, client comments, approval states, usage allowances, revision 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
Team-owned source documents, authorized interviews and permitted research sources. Cloud asset storage, WordPress publishing and analytics 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
4 daysOne buyer segment, one recurring use case; first modules: generate full article drafts from approved sources; optimize drafts for search intent and on-page structure. Manual review in the loop. Built by our AI software factory.
- 3
Paid pilot
5 daysAccounts, roles, review states, audit trail and the first integration, hardened for two to three paying pilot customers.
- 4
Full product
9 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 content leads and marketing teams running one or more owned blogs use it to solve "articles are drafted, optimized and published across several rented tools, so the workflow, the data and the brand stay outside the team's control"?
- 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: Accepted articles per editorial hour and corrections after publication.
- Measure, then decide. Track accepted articles per editorial hour and corrections after publication; 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 owned blog and one approved source set; final fact, tone and publication checks remain editorial. Implement one approved input format, a bounded representative case set and the first two task modules: generate full article drafts from approved sources; optimize drafts for search intent and on-page structure. Support the remaining modules with operator review. 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 editor-approved articles published to the team's own site. Retain the explicit scope boundary: One owned blog and one approved source set; final fact, tone and publication checks remain editorial.
What the build depends on. Source upload and preview, asynchronous generation jobs, editable version history, reviewer access and tested export formats. High-fidelity publishing requires editorial QA. Obtain representative authorized cases, baseline measurements, qualified reviewers and a buyer-side decision owner. Specific limitation: One owned blog and one approved source set; final fact, tone and publication checks remain editorial.
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: generate full article drafts from approved sources; optimize drafts for search intent and on-page structure. 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$44,000about 4 weeks of creation time · start with the MVP from $13,000
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 | $70–$140 | $100–$200 |
| Full productabout 50 customers | $110–$210 | $700–$1,400 | $810–$1,610 |
Run it or resell it
For your own team
Content leads and marketing teams running one or more owned blogs run it inside the business: approved sources, keyword lists, brand rules and publishing settings in, editor-approved articles published to the team's own site 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
#3e2791 - accent
#95c954 - surface
#e7e4f1 - ink
#22201e
- Headings
- Playfair Display
- Text
- Source Sans 3
- Voice
- Energetic, specific, results-minded
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 article package. Offer a monthly production allowance after repeat demand. Quote complex multilingual or video-heavy work separately. These are test prices, not market benchmarks. Package the initial sale as one bounded editor-approved articles published to the team's own site. 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 tool sprawl and manual handoffs while keeping editorial control. Demonstrate a concrete editor-approved articles published to the team's own site using the buyer's approved example and show the baseline, corrections and actual delivery effort.
Where to find buyers
Content leads and marketing teams running one or more owned blogs professional communities; specialist consultants serving this buyer; permissioned partner introductions; practical demonstrations at relevant trade or practitioner events.
Lead magnet
A reviewed sample editor-approved articles published to the team's own site from a small authorized input set, with a transparent calculation of accepted articles per editorial hour and corrections after publication and no promised savings.
The first 30 days
- Week 1: interview five content leads and marketing teams running one or more owned blogs and inspect a recent example of articles drafted, optimized and published across several rented tools, so the workflow, the data and the brand stay outside the team's control.
- 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 accepted articles per editorial hour and corrections after publication, 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: Accepted articles per editorial hour and corrections after publication. 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
Accepted articles per editorial hour and corrections after publication; accepted-output rate; material error rate; reviewer correction time; actual repeat purchase.
Retention and expansion
Repeat the workflow when the buyer again needs editor-approved articles published to the team's own site. 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 brand rules, source sets and review examples, together with reliable delivery for a narrow content niche. Build a permissioned library of representative task cases, reviewer corrections and verified operating constraints for content leads and marketing teams running one or more owned blogs. Repeatable delivery and useful integrations matter more than access to a base model.
Alternatives and positioning
GetBotz, AutoBlogging.pro, Content At Scale and RightBlogger, plus freelancers and generic writing tools. Compare this product with the buyer's present method on accepted articles per editorial hour and corrections after publication. Offer a bounded paid workflow instead of claiming broad autonomous expertise. Market uniqueness and competitor coverage are not verified.
Main delivery costs
Generation attempts, image processing, storage, reviewer hours, client revision rounds and licensed source assets. Additional initial validation requires representative authorized sample preparation, buyer interviews, buyer-side evaluation and bounded validation of editor-approved articles published to the team's own site. Track cost per accepted output, including correction work, unsuccessful cases and support.
Safeguards
Preserve brand voice, source attribution, quotation accuracy and usage permissions. Editors approve substantive changes and publication scope. One owned blog and one approved source set; final fact, tone and publication checks remain editorial. Keep all consequential actions under authorized human control and do not fabricate missing inputs, permissions, professional judgments or market evidence.