Each of these is a working prototype — paired with a plain-English guide on how you could build something similar for your team. New tools drop as I build them.
Surfaces what's blocking deals, what's converting, and who to prioritise — from your own call transcripts, Slack threads, and CS notes.
Daily job listings by day with scored reasoning, LinkedIn feed signals, and a target company tracker — all from an agent running at 5pm.
A reactive SaaS ROI calculator built as a top-of-funnel activation tool. Sliders, live charts, scenario modelling — instant results, no form submission.
Product alignment in Slack — AI does the signal work. A walkthrough of a PM team using a Slack-native agent to make roadmap decisions from customer evidence.
A semi-automated discovery pipeline — interviews, Slack feedback, and CS notes synthesised into themes, buy intent scores, and churn risk signals across 40+ participants.
Claude knows your product, audience, and voice — and generates structured briefs automatically when a feature ships, an objection spikes, or Monday arrives.
Each prototype here was built to solve a real problem — something I ran at Aether, built for clients, or needed for my own job search. They're working prototypes, not mockups.
The how-to guides walk through how you could replicate the core workflow using Claude.ai or Claude Code — no engineers required. Most of these can be running in a day.
Background
Product & Discovery Lead. 8+ years across product, strategy, and design. Most recently leading AI-native product discovery at Aether (2025–2026), Auckland NZ.
I work at the intersection of product thinking and AI tooling — rapid prototyping, commercial strategy, and discovery systems that actually ship.