Six recent automation projects — some solo, some through the studio. Sorted by recency. Where clients have given permission, the numbers are theirs.
Founder spending 90 min/day reading + sorting customer email.
GPT-4o classifier wired into Gmail. Five-priority inbox each morning, auto-drafted replies for the routine threads, a one-line summary for everything else.
7+ hours back per week. About 40% of replies sent with one click.
42 RSS feeds and six newsletters. Important things kept slipping past me.
Daily ingest, cluster by topic, summarise with Claude, ship a single five-minute digest to my inbox at 7am. Friends asked to be added. Now there are twelve of us.
Reading time down ~80%. Quietly the thing I'm proudest of.
Reps were writing up call notes in the evening. Nobody was thrilled.
Otter recording in, structured Notion brief out: pains, objections, next steps, a BANT score. Posts to Slack for the team to react.
12 min saved per call × 60 calls/week. The CRM finally has clean data.
Tier-1 ops drowning in repetitive tickets that should never have reached a human.
Three-tier intent classifier with a confidence threshold. High-confidence routine queries resolve themselves; everything else lands in front of a human with the relevant context attached.
60% Tier-1 deflection. The team focuses on the tickets that actually deserve them.
Cold sign-ups never activated. The manual welcome was inconsistent.
Stripe webhook into a personalised five-touch sequence; an AI-generated welcome based on the form responses; a Slack ping to the founder for the high-intent ones.
D7 activation went from 22% to 51%. Founder sleeps better.
Each episode took four days to turn into a blog post, a thread and a LinkedIn outline.
Whisper transcript in. Structured draft + thread + LinkedIn outline out, all dropped into Notion for a human polish pass.
Same-day repurposing. Three times the output, a third of the effort.
Client work is handled by the studio. For collaborations, advice or podcast invites — write to me directly.
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