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Adapt Use Cases

A marketing team publishes a long-form blog post via Cortex. They then select the approved draft and adapt it for LinkedIn (formal, 300-word summary), Twitter/X (casual, 280-character hook + key takeaway), Instagram (casual caption with hashtags), email newsletter (neutral, with subject line), and a Google Ads version (concise CTA-driven copy). All five versions are generated in minutes and maintain brand consistency.

Key features used: Multi-channel adaptation, tone overrides, constraint enforcement

An agency managing three clients sets up different channel configurations for each brand workspace. Client A needs formal LinkedIn + press release. Client B needs casual Instagram + Twitter/X. Client C needs all five channels. When adapting content, the workspace automatically applies the correct channel configurations and brand voice.

Key features used: Per-workspace channel configs, brand voice integration, multi-brand support

A trending topic signal is activated, and Cortex generates a draft within minutes. The marketer immediately adapts the draft for LinkedIn and Twitter/X. The social adaptations are reviewed, approved, and posted before the trend cools off — total time from signal to social content is under 30 minutes.

Key features used: Signal → Cortex → Adapt pipeline, social channel adaptation, fast turnaround

A content team has an approved blog post that performed well (tracked in Pulse). They adapt it for email — Adapt generates a version with a subject line, preview text, concise body, and CTA. The email respects the email channel’s word limits and includes the required unsubscribe disclaimer as a required element.

Key features used: Email adaptation, required elements (disclaimer), subject line generation

A B2B brand maintains a formal tone on LinkedIn but wants to be more approachable on Instagram. They configure LinkedIn with a formal tone override and Instagram with casual. When the same blog post is adapted for both, LinkedIn gets polished professional language while Instagram gets a conversational rewrite with emoji-friendly copy — both maintaining the core brand voice.

Key features used: Per-channel tone overrides, formality levels, consistent brand voice