Syrup GPT

Designed and built an in-house AI model and interface to streamline internal workflows — from content generation and design briefs to code scaffolding and client communication.

Syrup · 2026 · Product Design, UI/UX Design

Syrup GPT team collaboration view
Syrup GPT main interface overview
Syrup GPT conversation and prompt interface
Syrup GPT task mode selection
Syrup GPT dashboard and activity feed
Syrup GPT output generation view
Syrup GPT settings and configuration
Syrup GPT model fine-tuning interface
Syrup GPT prompt history and logging
Syrup GPT analytics and usage metrics
Syrup GPT design brief generation
Syrup GPT code scaffolding output
Syrup GPT client communication drafts

The project

Syrup GPT started as an internal experiment: could we build a focused AI assistant tailored to the exact workflows our team runs every day — design briefs, content drafts, code scaffolding, and client communication?

Rather than relying on generic models, we trained and fine-tuned our own pipeline to understand Syrup's tone, standards, and delivery expectations. The result is an assistant that doesn't just generate — it generates in our voice, with our quality bar.

The interface was designed for speed. Team members can jump between task modes, reference past outputs, and chain prompts without context-switching between tools. Every interaction is logged for team visibility and continuous model improvement.

Syrup GPT is now embedded in our daily operations. It handles first-pass copy, generates component boilerplate, drafts client updates, and supports ideation sessions — freeing the team to focus on high-leverage creative and strategic work.

What we shipped

  • Custom AI model tuned to Syrup's voice, standards, and workflows
  • Unified interface for content, code, design briefs, and client comms
  • Reduced repetitive task time across the team
  • Continuous improvement loop from logged interactions and feedback

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