Production, by hand
~6 min × 12 ≈ ~1.2 hrsopen file→delete old headline→paste new→re-align→export↻repeat ×12
About the team
Product builders and social-native marketers.
Technical judgement, product context and market instinct sit close enough together to turn AI into useful operating leverage.
Our philosophy
We were losing the hours that matter to work that doesn't scale.
A marketer's day splits into two kinds of work. Thinking — research, strategy, creative, QA — is what actually moves a number, and it scales: one good angle can carry a whole campaign. Production and distribution — resizing the same asset, rewriting the same caption, re-uploading per platform — does not scale at all: twice the output means twice the hours. Guess which one fills the calendar.
Distribution, by hand
200 manual actions| Per platform | 1:1 | 9:16 | 16:9 | Caption | Upload |
|---|---|---|---|---|---|
| ✎ | · | ✎ | ✎ | ↑ | |
| ✎ | ✎ | · | ✎ | ↑ | |
| ✎ | ✎ | ✎ | ✎ | ↑ | |
| TikTok | · | ✎ | · | ✎ | ↑ |
50 creatives × 4 platforms = 200 resize · caption · upload cycles
The work that decides results gets the leftovers. The work a machine could do gets the day.
Production, as one run
1 run + 1 reviewone row per angle→engine builds every variant→every ratio in the same pass→lands in draft
One idea → 40 executions, built once.
Distribution, as a schedule
5 of 6 steps automatedreformat per surface→caption to brand voice→schedule & post→a person checks
The matrix is solved once, not re-solved every morning.
How we are built
Two working cultures. One operating loop.
Product and technical thinking works directly with market, content and channel fluency from the first decision through live execution.
People who understand how the system is built.
Product thinking and technical fluency keep marketing decisions connected to what the product can actually do, how it behaves and where automation creates real leverage.
- Product judgement
- AI workflows
- Automation
- Engineering
- Measurement
People who understand how attention moves.
Research, creative and channel fluency keep the system grounded in audience behavior, native content patterns and the realities of shipping into market.
- Market intelligence
- Content
- UGC
- Distribution
- Search
What that changes
Fewer handoffs between thinking, building and shipping.
Consultancy finds the move. Tooling turns repeated work into a system. Execution puts the system into market and returns the learning.
Work with the team
Give us the context before the call.
Tell us what the product does, where the system is stuck and what your team needs to move faster.