Case · 05 · Syrup Lab ← Back to proof

Drizzle

Drafts in your brand voice, generates the visual, schedules across networks, and tracks engagement. Human approves every post.

Sector
Marketing / content ops
Networks
LinkedIn, X, Instagram, and more
Output
Drafts, visuals, scheduled posts
Status
Syrup Lab · proof of concept
The case Voice in, posts out

Publishing is a pipeline: draft, visual, schedule, measure, usually split across people and tools. This agent runs it as one workflow with a human on the gate.

One workflow, one human on the gate.

01

Load the brand kit

Voice doc, hashtags, and connected accounts. Every draft starts from your standards.

02

Draft & queue

Copy and visual per calendar slot, held for approval. Nothing publishes without a sign-off.

03

Publish & measure

Ships on schedule and pulls impressions, reactions, and reach per post.

Sample output · one post, every network

One approved draft, scheduled to every connected network at once. Placeholders shown. Live queues run in your brand voice with matching visuals.

The Outstand layer One call, one shape

Instead of posting to each platform and pulling analytics separately, publishing and reporting both route through one API/MCP layer. A single call fans a post out to X, LinkedIn, Instagram, and more at once, not five-plus separate integrations. Scheduling is one timestamp field, so a content calendar queues in advance. Engagement (likes, shares, reach, impressions) comes back in one unified response per post.

Because it’s MCP-exposed, you can instruct Claude in plain language: “post this to X and LinkedIn now, queue Threads for tomorrow 9am,” then later ask “how did last week’s posts perform across platforms?” and get a normalized comparison.

1→∞

one call fans out to every connected network

1

timestamp field queues a full content calendar

1

response shape for analytics across every platform

How it plugs into your pipeline

Higgsfield Generate
Canva Design
Outstand MCP layer
Networks X / LinkedIn / IG / …

Unified analytics flow back from every network into one normalized view.

The real payoff is the reporting: performance data returns in the same shape regardless of platform. That’s what enables real analysis (e.g. “Instagram carousels outperform LinkedIn text posts for this content type”) instead of publishing blind and checking five dashboards by hand.

From the Syrup Lab

syrup

AI that sticks.

What would this do to your calendar?

Send us your brand voice doc. We’ll show you a month of posts, drafted and queued.

Or email hello@poursyrup.ai directly