Screenshot of the Social post production and scheduling workbench interactive demo
Screenshot of the interactive demo, on sample data

Social post production and scheduling workbench

Reduce tool subscriptions and manual re-entry while keeping one approved post record.

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For
Small marketing teams and agencies producing and scheduling social media posts
Solves
Content is spread across several subscriptions for writing, design, scheduling and analytics, so teams re-enter the same post and lose track of approvals.
Delivers
Scheduled, brand-approved posts with linked visuals
Built in
about 5 weeks of creation time, MVP in 6 days
Investment
$14,500 for the MVP, $49,500 for the full product
Run it
Inside your business, or as part of your offer to clients
01

What it does

Reduce tool subscriptions and manual re-entry while keeping one approved post record.

  1. Generate post text from a prompt or brief.
  2. Rewrite and refresh existing copy.
  3. Produce multiple post variations from one prompt.
  4. Apply tone and voice settings.
  5. Generate matching images and simple video.
  6. Turn written text into video content.
  7. Edit video and add animation.
  8. Design posters and graphics with drag-and-drop.
  9. Apply brand kit logos, colors and fonts.
  10. Use template and prompt libraries.
  11. Store ideas and group content into projects.
  12. Schedule and queue posts across networks.
  13. Show a content calendar and draft queue.
  14. Shorten links and manage a link-in-bio page.
  15. Track hashtags and post performance.
  16. Manage comments and direct messages in one inbox.
  17. Support team comments, approvals and white-label branding.
  18. Export designs in print and digital formats.

Everything these tools do, in one app

What goes in, what comes out

What the customer puts in
  • Brand assets
  • Product information
  • Past posts
  • Campaign constraints

AI drafts, people review. Visual production platform with managed creative review.

What the customer gets
  • Scheduled
  • Brand-approved posts with linked visuals
02

How it works

The workflow

  1. In
    Start with

    Brand assets, product information, past posts and campaign constraints

  2. 1

    Confirm the buyer's problem and scope

  3. 2

    Collect brand assets

  4. 3

    Product information

  5. 4

    Past posts and campaign constraints

  6. 5

    Then follow this sequence: 1

  7. Out
    Finish with

    Scheduled, brand-approved posts with linked visuals

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 connected account per network and one brand kit; 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, Post production board, Calendar and queue, Review and approval, Performance view. Use a thumbnail gallery for campaigns, a large central editing canvas, and a right-hand panel for brand kit, prompts and comments. Let users compare post variations side by side. Display draft, changes requested and approved states. Provide a client preview link with comments anchored to the relevant post. Make the task-specific outcome scheduled, brand-approved posts with linked visuals 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 asset libraries, product catalogs and permitted past posts. Cloud asset storage, design-file import/export and social network 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.

03

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. 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 post text from a prompt or brief; produce multiple post variations from one prompt. 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 agencies producing and scheduling social media posts use it to solve "content is spread across several subscriptions for writing, design, scheduling and analytics, so teams re-enter the same post and lose track of approvals"?
  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 connected account per network and one brand kit; 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 post text from a prompt or brief; produce multiple post variations from one prompt. Support the third module with operator review: apply tone and voice settings. 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 scheduled, brand-approved posts with linked visuals. Retain the explicit scope boundary: One connected account per network and one brand kit; 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 connected account per network and one brand kit; final brand, legal and factual checks remain human.

04

Investment

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

  1. Phase 1

    MVP

    One buyer segment, one recurring use case; first modules: generate post text from a prompt or brief; produce multiple post variations from one prompt. Manual review in the loop.

    $14,500 · about 6 days of creation time

  2. Phase 2

    Paid pilot

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

    $14,500 · about 7 days of creation time

  3. Phase 3

    Full product

    Self-serve onboarding, billing, monitoring and the wider integration set.

    $20,500 · about 3 weeks of creation time

Indicative total, MVP to full product$49,500about 5 weeks of creation time · start with the MVP from $14,500

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.

StageHosting and infrastructureAI usageTotal per month
MVP and paid pilotabout 3 customers$40–$80$150–$310$190–$390
Full productabout 50 customers$160–$320$2,100–$4,200$2,260–$4,520
05

Run it or resell it

Internally

For your own team

Small marketing teams and agencies producing and scheduling social media posts run it inside the business: brand assets, product information, past posts and campaign constraints in, scheduled, brand-approved posts with linked visuals out, reviewed by your people.

For your clients

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#273191
  • accent#c9ac54
  • surface#e4e6f1
  • ink#22201e
Headings
Manrope
Text
Manrope
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 brand package. Offer a monthly production allowance after repeat demand. Quote complex video, 3D or specialist design separately. These are test prices, not market benchmarks. Package the initial sale as one bounded scheduled, brand-approved posts with linked visuals. 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 subscriptions and manual re-entry while keeping one approved post record. Demonstrate a concrete scheduled, brand-approved posts with linked visuals using the buyer's approved example and show the baseline, corrections and actual delivery effort.

Where to find buyers

Small marketing teams and agencies producing and scheduling social media posts professional communities; specialist consultants serving this buyer; permissioned partner introductions; practical demonstrations at relevant trade or practitioner events.

Lead magnet

A reviewed sample scheduled, brand-approved posts with linked visuals 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 agencies producing and scheduling social media posts and inspect a recent example of content spread across several subscriptions for writing, design, scheduling and analytics, so teams re-enter the same post and lose track of approvals.
  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 scheduled, brand-approved posts with linked visuals. 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, post examples and review corrections, 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 agencies producing and scheduling social media posts. Repeatable delivery and useful integrations matter more than access to a base model.

Alternatives and positioning

Ocoya, Creasquare, Brandblast, SocialBee, Awesome Social, PosterGPT, Simplified, Typefully, Taplio and ContentIn, plus freelancers and generic design tools. 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, video or 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 scheduled, brand-approved posts with linked visuals. Track cost per accepted output, including correction work, unsuccessful cases and support.

06

Safeguards

Preserve brand voice, source attribution, quotation accuracy and usage permissions. Brand owners approve substantive changes and publication scope. One connected account per network and one brand kit; 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.

Get this solution built

Built for you by our AI software factory, MVP in about 6 days. Tell us about your business and how you want to run it: inside your company, or as part of what you offer your clients. We reply within one working day.

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