Source-based marketing content production workspace

For

Marketing teams and e-commerce sellers producing ads, blog posts, product listings and social copy

Solves

Written marketing and product content is produced across several rented tools, so brand voice, source facts and publishing steps stay scattered.

Delivers

Editor-approved content packages linked to their sources

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

Reduce tool sprawl and manual rework while keeping brand voice and source facts consistent.

1. Generate draft content for ads, blogs, listings and social posts.
2. Apply versatile templates for each content type.
3. Write in more than 30 languages.
4. Apply copywriting formulas such as AIDA and PAS.
5. Reword and edit text in a flexible editor.
6. Create product titles, descriptions and keywords from a short input.
7. Format output for any e-commerce platform, including Shopify, Amazon and Facebook Marketplace.
8. Run generation on a configurable language model.
9. Reduce repetitive data entry when creating product listings.
10. Offer a no-cost entry tier for first use.
11. Automatically edit drafts to improve quality.
12. Optimize copy against SEO best practices.
13. Publish approved content directly to WordPress.
14. Maintain brand voice with granular tone settings.
15. Generate multiple content pieces in one batch.
16. Compare the reviewed result with the recorded baseline and value assumptions.
17. Capture corrections and named-owner approval before consequential use.
18. Export a versioned editor-approved content package linked to its sources with source references and unresolved questions.

Everything these tools do, in one app

• Rapid content generation Quickly produces written content for various use cases.Found in WriteMe.ai, Jaq n Jil
• Versatile content templates Provides templates for creating different types of content.Found in WriteMe.ai, Jaq n Jil
• Multilingual support Writes content in more than 30 languages for a global audience.Found in WriteMe.ai
• Copywriting formulas Uses proven formulas like AIDA and PAS to make content engaging.Found in WriteMe.ai
• Flexible text editor Allows users to reword and edit text easily.Found in WriteMe.ai, Jaq n Jil
• Product listing generation Creates complete product titles, descriptions, and keywords from a short input.Found in depikt's Product Details Generator
• E-commerce platform compatibility Works with any e-commerce platform, including Shopify, Amazon, and Facebook Marketplace.Found in depikt's Product Details Generator
• GPT-3.5-turbo model Utilizes the GPT-3.5-turbo AI model for accurate and relevant content creation.Found in depikt's Product Details Generator
• Streamlined listing process Saves time and reduces repetitive data entry when creating product listings.Found in depikt's Product Details Generator
• Free access Offered as a free tool with no initial cost barriers.Found in depikt's Product Details Generator
• Automated editing Automatically edits content to improve quality.Found in Jaq n Jil
• Optimization Optimizes writing to align with SEO best practices.Found in Jaq n Jil
• Direct WordPress publishing Publishes content directly to WordPress to simplify workflow.Found in Jaq n Jil
• Customized tone Maintains brand voice with granular customization options.Found in Jaq n Jil
• Bulk content generation Scales content marketing efforts by generating multiple pieces at once.Found in Jaq n Jil

What goes in, what comes out

The workflow

1. In
   Start with

   Approved briefs, product data, brand rules and channel constraints

2. 1

   Confirm the buyer's problem and scope

3. 2

   Collect approved briefs

4. 3

   Product data

5. 4

   Brand rules and channel constraints

6. 5

   Then follow this sequence: 1

7. Out
   Finish with

   Editor-approved content packages linked to their 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 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 approved brand voice and one verified product data set; final claims, legal wording and publication scope remain editorial. A model suggestion is never a verified fact, professional decision or authorization to act.

What your team sees

Primary screens: Brief and source library, Editable content workspace, Channel preview and delivery. Use a thumbnail gallery for campaigns, a large central editing canvas, and a right-hand panel for sources, 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 asset. Make the task-specific outcome editor-approved content packages linked to their sources visible beside its evidence, review state and value baseline.

Accounts and administration

Project ownership, asset 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

Client-owned briefs, product data and brand rules. Cloud asset storage, e-commerce platform import/export and WordPress publishing. 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.

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

   5 days

   One buyer segment, one recurring use case; first modules: generate draft content for ads, blogs, listings and social posts; apply versatile templates for each content type. Manual review in the loop. Built by our AI software factory.

3. 3

   Paid pilot

   6 days

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

4. 4

   Full product

   2 weeks

   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 marketing teams and e-commerce sellers producing ads, blog posts, product listings and social copy use it to solve "written marketing and product content is produced across several rented tools, so brand voice, source facts and publishing steps stay scattered"?
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 quality and outcome thresholds before the pilot using this measure: Accepted content pieces per production hour and corrections after publication.
4. Measure, then decide. Track accepted content pieces per production 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 approved brand voice and one verified product data set; final claims, legal wording and publication scope remain editorial. Implement one approved input format, a bounded representative case set and the first two task modules: generate draft content for ads, blogs, listings and social posts; apply versatile templates for each content type. 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 content packages linked to their sources. Retain the explicit scope boundary: One approved brand voice and one verified product data set; final claims, legal wording and publication scope remain editorial.

What the build depends on. Asset upload and preview, asynchronous generation jobs, editable version history, reviewer access and tested export formats. High-fidelity production requires specialist marketing QA. Obtain representative authorized cases, baseline measurements, qualified reviewers and a buyer-side decision owner. Specific limitation: One approved brand voice and one verified product data set; final claims, legal wording and publication scope remain editorial.

A planning range to start the conversation, not a quote. You pay per phase, so you can stop after the MVP.

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.

Your brand, or this one

Run it under your own brand, or start from this concept style.

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 content package. Offer a monthly production allowance after repeat demand. Quote complex campaign, video or specialist copy separately. These are test prices, not market benchmarks. Package the initial sale as one bounded editor-approved content package linked to its 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 tool sprawl and manual rework while keeping brand voice and source facts consistent. Demonstrate a concrete editor-approved content package linked to its sources using the buyer's approved example and show the baseline, corrections and actual delivery effort.

Where to find buyers

Marketing teams and e-commerce sellers 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 content package linked to its sources from a small authorized input set, with a transparent calculation of accepted content pieces per production hour and corrections after publication and no promised savings.

The first 30 days

1. Week 1: interview five marketing teams and e-commerce sellers producing ads, blog posts, product listings and social copy and inspect a recent example of written marketing and product content produced across several rented tools.
2. Week 2: prepare a consented or synthetic demonstration of the task modules.
3. Week 3: seek one bounded paid pilot with agreed baseline and acceptance criteria.
4. Week 4: measure accepted content pieces per production 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 content pieces per production 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 content pieces per production 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 content packages linked to their 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 brand voices, channel constraints and review examples, together with reliable delivery for a narrow marketing niche. Build a permissioned library of representative task cases, reviewer corrections and verified operating constraints for marketing teams and e-commerce sellers producing ads, blog posts, product listings and social copy. Repeatable delivery and useful integrations matter more than access to a base model.

Alternatives and positioning

WriteMe.ai, depikt's Product Details Generator, Jaq n Jil, freelancers, agencies and generic generation tools. Compare this product with the buyer's present method on accepted content pieces per production 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, model usage, 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 content packages linked to their sources. Track cost per accepted output, including correction work, unsuccessful cases and support.

Preserve brand voice, source attribution, claim accuracy and usage permissions. Named owners approve substantive changes and publication scope. One approved brand voice and one verified product data set; final claims, legal wording and publication scope remain editorial. Keep all consequential actions under authorized human control and do not fabricate missing inputs, permissions, professional judgments or market evidence.