See DeskFerry automate content creation
A live look at the agent doing the work — not a feature list.
Turn this week's product update into a LinkedIn post.
Priya Shah · 1st
Head of Marketing · DeskFerry
Draft · today ·
We just shipped something support teams asked for: agents that resolve repeat tickets end-to-end, not just route them.
Early teams are deflecting ~70% of overnight volume — without a night shift.
Here's how it works →
Built in plain English.
You write the rule the way you'd describe it to a teammate. The agent reads the rule, breaks it into the actions it'll take, and confirms the apps it'll touch — before it does anything.
- 1Research the angle and pull real inputs
- 2Draft in your brand voice from examples
- 3Adapt per channel and queue for approval
Automate Content Creation: workflows DeskFerry runs
Product update → channel-ready posts
A changelog entry or topic is ready
Research the angle and pull real inputs
Draft in your brand voice from examples
Adapt per channel and queue for approval
One idea becomes a week of on-brand, channel-native content.
Repurpose a long-form piece
A blog post or webinar is published
Extract the key points and hooks
Produce a thread, a post and a newsletter blurb
Schedule what you approve
Maximum mileage from every asset, without the grind.
Who it's for
Content marketer
Turning one idea into channel-ready posts is a daily chore.
The research-draft-format-schedule chain runs for you.
Founder / solo marketer
No time to post consistently across channels.
On-brand content ships consistently without adding headcount.
For Automate Content Creation: DeskFerry vs Relevance AI
| Aspect | Relevance AI | DeskFerry |
|---|---|---|
| Time to first content creation | Hours (some technical knowledge needed) | 30 minutes or less |
| Technical skills required | Some technical knowledge | None - plain English setup |
| Intelligence level | AI tools (low-code) | AI that understands context |
| Handles edge cases | Manual configuration updates | Adapts automatically |
The real cost of content creation
Monthly Cost
Hidden costs with Relevance AI:
- Developer time for advanced configurations
- Training costs for technical features
- Learning curve for low-code interface
- Time spent troubleshooting content creation issues
Time to Results
Setup Time
First Results
Why DeskFerry is better for content creation
We just shipped something support teams asked for: agents that resolve repeat tickets end-to-end, not just route them.
Prepared and waiting on your approval
Outside the agent's confidence — your call
Approve before it sends.
Every draft lands in a review queue. You approve, edit, or reject — the agent never acts on its own unless you explicitly turn that on for a workflow you trust.
Every action, with the reasoning attached.
Each step the agent takes is logged with what it did, why it did it, and which app it touched. Audit-ready, so security and compliance can sign off without backfilling.
- Youjust now
Approved — publish the post
- Agent1 min ago
Held for human review
Reason: On-brand draft ready — holding for your sign-off before it goes public.
- Agent1 min ago
Drafted a post in your brand voice
- Agent2 min ago
Pulled context from LinkedIn, Notion and WordPress
- Agent2 min ago
Triggered: Turn this week's product update into a LinkedIn post.
Common questions
DeskFerry vs Relevance AI for content creation
Keep exploring
Full DeskFerry vs Relevance AI comparison
This page is about content creation. The full comparison covers pricing, security, and every feature head-to-head.
More DeskFerry vs Relevance AI use cases
Ready to automate content creation the easy way?
Switch from Relevance AIor start fresh. Either way, you'll be up and running in 30 minutes.
Starter plan. 100 actions included.