What One Day With AI Actually Looks Like 🔥🔥🔥

Jody Murfit

🔥

27d • Wins 🌟

7 sessions. 11 commits. One Builder. One laptop. One AI partner.

Total cost of AI tools used: £6.30.

Not perfect. But learning and growing every day.

SESSION 1: Content + Video Production

Published Sunday posts (Signal + Value Post) across all platforms
Generated 2 AI videos using Sora 2 (electrician at work, speed-to-lead phone notification)
Built a showcase heat map for social proof
Saved YouTube production checklist from academy feedback

SESSION 2: Video Editing System

Locked in Remotion overlay positioning (lower thirds, key phrases, banners, captions with green word highlight)
Saved official CX logo, QR code, and shield logo
Built vertical (9:16) composition for YouTube Shorts and Instagram Reels

SESSION 3: Video + Content Polish

Spliced hero video: talking head footage + AI-generated brand clip
Scaled all Remotion overlays for 720p
Built the vertical Short composition system from scratch
Published final Sunday content suite

SESSION 4: Deep Research - DOAC AI Whistleblower

6 parallel research agents analysed Steven Bartlett 3.4M-view AI Whistleblower episode (Karen Hao, 2 hours)
Fact-checked 59 claims against 50+ external sources
Produced 8 ready-to-publish daily posts (Mon-Thu next week)
15 backlog content angles, 3 YouTube scripts, 5 Instagram carousel ideas
Branded Anthropic capability chart as social card

SESSION 5: Systems + Meeting Prep

Audited 9 AIOS classrooms, produced gap analysis wiki page
Built Memory Health Scanner (weekly cron, Telegram alerts)
Built /memory-prune command for safe memory archival
Built /audit-website command (pre-Opportunity Map sales tool)
Built /space-review command (on-demand workspace health)
Built Competitor Monitor (weekly Firecrawl scrape + Claude diff)
Trimmed MEMORY.md from 513 to 87 lines
Prepped meeting pack for a prospect meeting on Tuesday
Archived 5 stale draft plans

SESSION 6: Process Compliance

Deep researched Superpowers plugin (148K stars, #1 Claude Code plugin)
Verdict: wrong tool for us, but the methodology is gold
Extracted Cialdini compliance principles into auto-load rules
Built 8 anti-rationalization rules that catch process-skipping
Added staged planning gates to /create-plan
Fixed lead scraper email validation

SESSION 7: Research Platform Expansion

Deep researched 6 AIOS Module Library lessons with parallel agents
Installed 5 research platform modules (Reddit, X-Search, Academic, Podcast, Substack)
Upgraded /deep-research from 2 platforms to 7 platforms
Updated finance tracker

THE NUMBERS

Git commits: 11

New systems built: 7

Research modules installed: 5

Content pieces produced: 10+

AI videos generated: 2

Video compositions built: 2

Wiki pages written: 5

Plans archived: 5

Claims fact-checked: 59

Deep research runs: 3

Total cost: £6.30.

That is what one person and one AI partner built in a single Sunday.

And still had time to hit the gym, walk Loki, watch some football and golf, jump on a 30-minute call with friends and partners in LA, and sit down for a proper Thai takeaway family birthday meal for my father-in-law Spencer 💚

That’s the real shift.

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