Source-based social content and scheduling workspace

Reduce tool switching and off-brand posts while keeping the operator's voice and sources. For small marketing teams and solo operators publishing regularly on social media, convert approved source material, brand voice notes, platform rules and past post performance into operator-approved posts and a publishing schedule. The benefit is a testable hypothesis, measured through approved posts per production hour and corrections after publishing; do not assume that AI output alone produces business value.

Confirm the buyer's problem and scope, collect approved source material, brand voice notes, platform rules and past post performance, then follow this sequence: 1. Generate post drafts from approved sources. 2. Match the operator's personal voice and tone. 3. Schedule and automate publishing. Resolve uncertain cases with qualified reviewers, approve operator-approved posts and a publishing schedule, and measure approved posts per production hour and corrections after publishing against a documented baseline.

How the AI works

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 fixed brand voice profile and approved source set; final tone, factual and legal checks remain editorial. A model suggestion is never a verified fact, professional decision or authorization to act.

Safeguards

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

What to build first

Pilot scope: One fixed brand voice profile and approved source set; final tone, factual and legal checks remain editorial. Implement one approved input format, a bounded representative case set and the first two task modules: generate post drafts from approved sources; match the operator's personal voice and tone. Support the third module with operator review: schedule and automate publishing. 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.

What it can connect to

Author-owned manuscripts, authorized interviews and permitted research sources. Cloud asset storage, design-file import/export and 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.

The screens in detail

Primary screens: Source and voice setup, Editable post workspace, Schedule and delivery. Use a thumbnail gallery for campaigns, 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 operator-approved posts and a publishing schedule visible beside its evidence, review state and value baseline.