Content Agent: Case Study
Content automation stack.Human approval at the publish gate.
We run a weekly content engine that drafts, routes, and executes with one pattern: Detect, Draft, Approve, Execute, Log. Instagram posts, blog drafts, partner article, and syndication all run on schedule with full traceability.
Pattern: Detect -> Draft -> Approve -> Execute -> Log. The platform can change. The operating model stays the same.
Cadence
Every recurring content workflow with exact run times.
The stack is schedule driven. Model allocation is task specific. Signal approval is mandatory before publish.
Codex drafts and packages assets for approval.
Codex generates hook, caption, and execution payload.
Codex prepares story sequence and posting data.
Mon, Tue, Thu, Fri on Sonnet.
Sonnet writes long form draft for partner publishing flow.
Channel variants generated and queued for approval.
Execution Pattern
Detect -> Draft -> Approve -> Execute -> Log
One pipeline across every content channel keeps output quality high and actions auditable.
Model Allocation
Right model, right job.
Short form velocity runs on Codex. Structured long form drafting runs on Sonnet.
Codex handles rapid generation loops, caption variants, and execution ready posting payloads for social cadence.
Sonnet is allocated to longer format planning, narrative structure, and channel specific rewrite quality for blog and partner distribution.
No post, article, or syndication job goes live until an approval message is confirmed in Signal.
After approval, agents execute channel actions and return completion state with references to output URLs or deployment targets.
Every run records trigger time, model used, approval event, execution result, and final publish state for audit and optimization.
Want this stack in your org?
We design content agents around your channels, your publishing rules, and your approval workflow.
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