Social content planning and production workbench

For

Small marketing teams and solo operators producing social media content across several platforms

Solves

Posts, captions, carousels and visuals are made in separate rented tools, so planning, review and brand consistency break down.

Delivers

Reviewer-approved posts, captions and carousels linked to a content calendar

Built in

about 5 weeks of creation time, MVP in 6 days

Investment

$13,500 for the MVP, $46,000 for the full product

Run it

Inside your business, or as part of your offer to clients

Reduce tool switching and review cycles while keeping one approved brand voice.

1. Generate draft posts and captions from a brief.
2. Plan and schedule posts in a calendar view.
3. Create or assist images and short videos for posts.
4. Build multi-slide carousels for each platform.
5. Suggest relevant hashtags.
6. Publish or export to multiple social platforms.
7. Offer pre-designed templates by content type.
8. Support team collaboration and review.
9. Estimate likely engagement for a draft.
10. Summarize long articles or web pages into posts.
11. Suggest grammar and style corrections.
12. Produce content in multiple languages.
13. Enforce brand consistency rules.
14. Summarize competitor public posts.
15. Build a link-in-bio landing page.
16. Store photos and videos in a media library.
17. Auto-resize designs for each platform.
18. Convert long-form content into short posts.
19. Compare the reviewed result with the recorded baseline and value assumptions.
20. Capture corrections and named-owner approval before consequential use.
21. Export a versioned reviewer-approved posts, captions and carousels linked to a content calendar with source references and unresolved questions.

Everything these tools do, in one app

• AI post generation Automatically creates written social media posts and captions.Found in CopyMedia, Generator XYZ, Predis.ai and 4 more
• Content calendar Provides a calendar view to plan and schedule posts in advance.Found in CopyMedia, Predis.ai, Circleboom and 1 more
• Visual content creation Generates or assists in creating images, videos, and other visuals for posts.Found in CopyMedia, Predis.ai, Editby
• Carousel creation Builds multi-slide carousels for social media platforms.Found in CopyMedia, aiCarousels.com, PostNitro
• Hashtag suggestions Recommends relevant hashtags to improve post discoverability.Found in Predis.ai, Circleboom, UNUM AI
• Multi-platform support Works across multiple social media platforms like Facebook, Instagram, Twitter, LinkedIn, etc.Found in Generator XYZ, Predis.ai, Circleboom and 3 more
• Template library Offers pre-designed templates for various content types and platforms.Found in Generator XYZ, Friz, aiCarousels.com and 1 more
• Team collaboration Allows multiple users to work together on content creation and review.Found in CopyMedia, Friz, Editby and 1 more
• Engagement prediction Predicts how well a post might perform in terms of engagement or virality.Found in Predis.ai, Olly 2.0
• Content summarization Generates concise summaries of long articles or web pages.Found in Generator XYZ, Olly 2.0
• Grammar and style suggestions Provides feedback to improve clarity and readability of text.Found in Friz
• Multi-language support Enables content creation in multiple languages.Found in Predis.ai, Friz
• Brand consistency tools Helps maintain a consistent brand identity across content.Found in Editby, PostNitro
• Competitor analysis Provides insights into competitors' social media strategies.Found in Predis.ai
• Link-in-bio tool Creates a customizable landing page with multiple links for social profiles.Found in UNUM AI
• Media library Central storage for photos and videos to manage assets.Found in UNUM AI
• Auto-resize Automatically adjusts design elements for different platforms and sizes.Found in aiCarousels.com
• Content transformation Converts long-form content or threads into bite-sized social media posts.Found in PostNitro

What goes in, what comes out

The workflow

1. In
   Start with

   Brand guidelines, approved assets, past post performance and platform requirements

2. 1

   Confirm the buyer's problem and scope

3. 2

   Collect brand guidelines

4. 3

   Approved assets

5. 4

   Past post performance and platform requirements

6. 5

   Then follow this sequence: 1

7. Out
   Finish with

   Reviewer-approved posts, captions and carousels linked to a content calendar

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 fixed brand kit and approved channel set; final brand, legal and factual checks remain human. A model suggestion is never a verified fact, professional decision or authorization to act.

What your team sees

Primary screens: Brand and channel setup, Content calendar and editor, Client proof and delivery. Use a thumbnail gallery for campaigns, a large central editing canvas, and a right-hand panel for brand rules, assets 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 reviewer-approved posts, captions and carousels linked to a content calendar 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

Brand-owned assets, authorized social accounts and permitted research sources. Cloud asset storage, design-file import/export and social publishing 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.

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: generate draft posts and captions from a brief; plan and schedule posts in a calendar view. 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

   3 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 small marketing teams and solo operators producing social media content across several platforms use it to solve "posts, captions, carousels and visuals are made in separate rented tools, so planning, review and brand consistency break down"?
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 posts per production hour and corrections after scheduling.
4. Measure, then decide. Track approved posts per production hour and corrections after scheduling; 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 fixed brand kit and approved channel set; final brand, legal and factual checks remain human. Implement one approved input format, a bounded representative case set and the first two task modules: generate draft posts and captions from a brief; plan and schedule posts in a calendar view. Support the third module with operator review: create or assist images and short videos for posts. 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 reviewer-approved posts, captions and carousels linked to a content calendar. Retain the explicit scope boundary: One fixed brand kit and approved channel set; final brand, legal and factual checks remain human.

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 creative QA. Obtain representative authorized cases, baseline measurements, qualified reviewers and a buyer-side decision owner. Specific limitation: One fixed brand kit and approved channel set; final brand, legal and factual checks remain human.

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 video or specialist design separately. These are test prices, not market benchmarks. Package the initial sale as one bounded reviewer-approved posts, captions and carousels linked to a content calendar. 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 review cycles while keeping one approved brand voice. Demonstrate a concrete reviewer-approved posts, captions and carousels linked to a content calendar using the buyer's approved example and show the baseline, corrections and actual delivery effort.

Where to find buyers

Small marketing teams and solo operators producing social media content across several platforms professional communities; specialist consultants serving this buyer; permissioned partner introductions; practical demonstrations at relevant trade or practitioner events.

Lead magnet

A reviewed sample reviewer-approved posts, captions and carousels linked to a content calendar from a small authorized input set, with a transparent calculation of approved posts per production hour and corrections after scheduling and no promised savings.

The first 30 days

1. Week 1: interview five small marketing teams and solo operators producing social media content across several platforms and inspect a recent example of posts, captions, carousels and visuals made in separate rented tools, so planning, review and brand consistency break down.
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 posts per production hour and corrections after scheduling, 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 posts per production hour and corrections after scheduling. 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 posts per production hour and corrections after scheduling; accepted-output rate; material error rate; reviewer correction time; actual repeat purchase.

Retention and expansion

Repeat the workflow when the buyer again needs reviewer-approved posts, captions and carousels linked to a content calendar. 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, templates 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 small marketing teams and solo operators producing social media content across several platforms. Repeatable delivery and useful integrations matter more than access to a base model.

Alternatives and positioning

CopyMedia, Generator XYZ, Predis.ai, Circleboom, Friz, Olly 2.0, Editby, aiCarousels.com, PostNitro and UNUM AI. Compare this product with the buyer's present method on approved posts per production hour and corrections after scheduling. 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 or video 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 reviewer-approved posts, captions and carousels linked to a content calendar. Track cost per accepted output, including correction work, unsuccessful cases and support.

Preserve brand voice, source attribution, quotation accuracy and usage permissions. Brand owners approve substantive changes and publication scope. One fixed brand kit and approved channel set; final brand, legal and factual checks remain human. Keep all consequential actions under authorized human control and do not fabricate missing inputs, permissions, professional judgments or market evidence.