Context

PromptDeck started as a small personal experiment.

At the time, I wanted to test whether I could independently build and ship a usable product using AI assisted workflows. The idea came from observing repeated prompt reuse problems in my own workflow and among friends who frequently worked with language models.

Instead of aiming for complexity, I intentionally chose a simple product idea; something small enough to ship quickly, but meaningful enough to test the full cycle of building, distribution, and iteration.

Problem

Repeated prompt usage was becoming a common friction point when working with AI tools.

Users often:
– Rewrote the same prompts multiple times
– Struggled to organize frequently used prompts
– Lost context between sessions
– Had no simple way to inject prompts directly into workflows

This problem was small but recurring, and it affected productivity across multiple users.

Approach

Phase 1; Rapid Product Build

The first step was to validate whether I could build and deploy a functioning Chrome extension using AI assisted coding workflows.

Key actions included:
– Learning Chrome extension fundamentals
– Building a lightweight prompt storage system
– Creating injection workflows inside browser sessions
– Testing usability across basic workflows

The focus was speed; not perfection. Shipping something usable mattered more than optimizing every detail.

Phase 2; Distribution & Market Testing

After releasing the extension on the Chrome Web Store, the focus shifted to distribution and early user discovery.

Key actions included:
– Creating basic product descriptions and visual assets
– Sharing the product within small communities
– Monitoring early user adoption patterns
– Tracking conversion behavior in real time

This phase was critical in understanding how real users respond to simple tools without structured marketing campaigns.

Phase 3; Product Iteration & Bug Fixing

As users began interacting with the product, small usability issues and bugs surfaced.

This phase involved:
– Responding to user feedback
– Fixing minor bugs affecting workflow reliability
– Improving UI clarity
– Refining interaction logic based on observed usage

Phase 4; Market Insight & Roadmap Pivot

One unexpected observation came from user analytics.

Approximately 43% of users were based in Germany, despite no targeted marketing toward that region.

This insight challenged the original roadmap, which had been focused only on English-speaking users.

Instead of continuing planned features, I paused development and prioritized multilingual support.

Key actions included:
– Adding multi-language support across workflows
– Updating product copy to reflect international usage
– Repositioning the roadmap based on emerging demand

This change was implemented over a short weekend cycle and significantly improved accessibility for non-English users.

Insights

This project reinforced how important real user behavior is in shaping product direction.

Some key takeaways:

• Shipping early teaches more than planning endlessly
• Even simple tools can gain traction when they solve repeat problems
• Product roadmaps should adapt to real signals, not assumptions
• Distribution insights often reveal unexpected market opportunities

Outcome

Reflection

PromptDeck started as an experiment but became a practical lesson in shipping.

The biggest takeaway was not technical; it was learning how quickly assumptions change once real users enter the picture.

Building alone forced me to handle everything: product decisions, development, distribution, and iteration.

That experience changed how I think about product execution.