Source-based content and campaign workspace

For

Marketing teams and content studios producing source-based copy and campaigns

Solves

Content and campaign work is split across several rented tools, so sources, drafts, approvals and performance data never sit in one owned workflow.

Delivers

Editor-approved campaign copy and scheduled sends linked to source references

Built in

about 5 weeks of creation time, MVP in 6 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

Reduce tool switching and rework while keeping sources, drafts and approvals in one owned workspace.

1. Import source documents and PDFs.
2. Retrieve answers from PDFs with citations.
3. Suggest context-aware copy in multiple languages.
4. Highlight errors and offer fixes.
5. Autocomplete and paraphrase while preserving key points.
6. Summarize long documents.
7. Apply customizable templates.
8. Compose, edit and refine in one editor.
9. Give real-time feedback on drafts.
10. Score and segment leads.
11. Schedule email and SMS campaigns.
12. Sync with CRM and marketing platforms.
13. Report campaign performance in real time.
14. Automate repetitive tasks and custom workflows.
15. Export a versioned editor-approved campaign copy and scheduled sends linked to source references with source references and unresolved questions.

Everything these tools do, in one app

• Multi-language support Allows users to work with multiple programming languages such as Python, JavaScript, and Ruby.Found in TurboScripter
• Context-aware suggestions Provides suggestions that adapt to the current project or writing context.Found in TurboScripter
• Error highlighting Automatically highlights errors and offers debugging tips.Found in TurboScripter
• IDE integration Integrates seamlessly with popular development environments like VS Code and JetBrains.Found in TurboScripter
• Customizable templates Offers templates that can be customized to speed up repetitive tasks.Found in TurboScripter, Boostrbot
• All-in-one editor Lets users compose, edit, and refine content within a single editor without switching tools.Found in Ogilvy
• Real-time feedback Provides real-time suggestions and improvement tips while the user writes.Found in Ogilvy
• Conversion copywriting focus Tailors tools and guidance specifically for crafting marketing materials that drive action.Found in Ogilvy
• Automated campaign management Manages email and SMS campaigns with scheduling options.Found in Boostrbot
• Lead scoring and segmentation Scores and segments leads to target the right audience effectively.Found in Boostrbot
• CRM integration Integrates with popular CRM and marketing platforms for seamless data flow.Found in Boostrbot
• Real-time analytics Monitors campaign performance with real-time analytics and reporting.Found in Boostrbot, MIA
• Autocomplete Anticipates and composes text to make content creation more fluid.Found in Penelope AI
• Paraphrasing and summarizing Rephrases sentences and condenses lengthy documents while preserving key points.Found in Penelope AI
• Chat with PDF Retrieves information from PDFs for research and document analysis.Found in Penelope AI
• Interactive tools Includes automated content generation and interactive video chats to assist at every stage of writing.Found in Penelope AI
• Task automation Automates repetitive tasks to reduce manual effort.Found in MIA
• Customizable workflows Allows users to customize workflows to fit different project needs.Found in MIA
• Productivity tool integration Integrates seamlessly with popular productivity tools.Found in MIA
• Conversational interface Provides an intuitive conversational interface for easy interaction.Found in MIA

What goes in, what comes out

The workflow

1. In
   Start with

   Licensed source documents, brand rules, campaign briefs and performance data

2. 1

   Confirm the buyer's problem and scope

3. 2

   Collect licensed source documents

4. 3

   Brand rules

5. 4

   Campaign briefs and performance data

6. 5

   Then follow this sequence: 1

7. Out
   Finish with

   Editor-approved campaign copy and scheduled sends linked to source references

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. One brand voice guide and approved source set; final claims, legal checks and publication remain editorial. A model suggestion is never a verified fact, professional decision or authorization to act.

What your team sees

Primary screens: Source library and brief, Editable content and campaign preview, Client proof and delivery. Use a thumbnail gallery for projects, a large central editing canvas, and a right-hand panel for sources, constraints 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 campaign copy and scheduled sends linked to source references 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 source documents, authorized brand assets and permitted research sources. Cloud asset storage, CRM and marketing platforms, email and SMS senders. 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

   6 days

   One buyer segment, one recurring use case; first modules: import source documents and PDFs; retrieve answers from PDFs with citations. Manual review in the loop. Built by our AI software factory.

3. 3

   Paid pilot

   7 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 content studios producing source-based copy and campaigns use it to solve "content and campaign work is split across several rented tools, so sources, drafts, approvals and performance data never sit in one owned workflow"?
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: Approved assets per editorial hour and corrections after publication.
4. Measure, then decide. Track approved assets 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 brand voice guide and approved source set; final claims, legal checks and publication remain editorial. Implement one approved input format, a bounded representative case set and the first two task modules: import source documents and PDFs; retrieve answers from PDFs with citations. Support the third module with operator review: suggest context-aware copy in multiple languages. 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 campaign copy and scheduled sends linked to source references. Retain the explicit scope boundary: One brand voice guide and approved source set; final claims, legal checks and publication 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 campaign delivery requires specialist marketing QA. Obtain representative authorized cases, baseline measurements, qualified reviewers and a buyer-side decision owner. Specific limitation: One brand voice guide and approved source set; final claims, legal checks and publication 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 asset package. Offer a monthly production allowance after repeat demand. Quote complex campaign automation or CRM migration separately. These are test prices, not market benchmarks. Package the initial sale as one bounded editor-approved campaign copy and scheduled sends linked to source references. 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 switching and rework while keeping sources, drafts and approvals in one owned workspace. Demonstrate a concrete editor-approved campaign copy and scheduled sends linked to source references using the buyer's approved example and show the baseline, corrections and actual delivery effort.

Where to find buyers

Marketing teams and content studios producing source-based copy and campaigns 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 campaign copy and scheduled sends linked to source references from a small authorized input set, with a transparent calculation of approved assets per editorial hour and corrections after publication and no promised savings.

The first 30 days

1. Week 1: interview five marketing teams and content studios producing source-based copy and campaigns and inspect a recent example of content and campaign work is split across several rented tools, so sources, drafts, approvals and performance data never sit in one owned workflow.
2. Week 2: prepare a consented or synthetic demonstration of the three task modules.
3. Week 3: seek one bounded paid pilot with agreed baseline and acceptance criteria.
4. Week 4: measure approved assets 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: Approved assets 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

Approved assets 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 campaign copy and scheduled sends linked to source references. 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, source sets 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 content studios producing source-based copy and campaigns. Repeatable delivery and useful integrations matter more than access to a base model.

Alternatives and positioning

TurboScripter, Ogilvy, Boostrbot, Penelope AI and MIA. Compare this product with the buyer's present method on approved assets 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, document 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 campaign copy and scheduled sends linked to source references. Track cost per accepted output, including correction work, unsuccessful cases and support.

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