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The Agentic Series 3#: The Art of the MLP Product Development in Action
After a whirlwind summer break (Georgia was in Australia, the US, Switzerland, France and back to the UK), your hosts return to talk fake spring in Melbourne, big AI news, and the latest progress in our Agentic AI Experiment.
🚀 AI News Highlights
Gemini Nano Banana (2.5 Flash): Google’s new multimodal model nails hands (finally) and shines at storyboarding with JSON prompts.
Kimi K2: A front-end coding powerhouse from China’s Moonshot AI — cheaper than Claude Sonnet 4, though backend isn’t its strong suit.
GPT-5: Quietly flexing its ability to augment answers with real-time web searches.
Regulation: Australia looks set to ditch bespoke AI laws — a move we (cautiously) support.
Cloud & Infra: AWS NZ finally opens after a 4-year wait, while Oracle’s $300B OpenAI deal catapults Larry Ellison to the #1 richest spot.
🤖 The Agent Experiment: Content Co-Creator
We update you on our experimental AI system designed to help creators generate social content ideas.
The Vision: AI that uses your interests, calendar, and activities to suggest posts, captions, and even storyboards.
The Hurdles:
Social APIs = pricey + restrictive
Scraping trending content = messy (lots of “weird” results)
TikTok ≠Instagram: their algorithms play by very different rules
Creator Insights: TikTok’s algorithm makes it easier to go viral from scratch — and creators earn more there than on Insta.
❤️ The MLP (Minimum Lovable Product)
Instead of chasing APIs, we’re starting simpler:
Web app that asks about passions & activities
Optional calendar integration
AI-generated content ideas + Nano Banana-powered storyboards
Real-world testing on ourselves first
And with Instagram’s new “Edits” feature echoing this direction, the market clearly agrees.
🔮 What’s Next
Iterating the Content Co-Creator with real feedback
Upcoming episodes on renewables + data center power
Inviting listeners to weigh in ([email protected])
This episode blends AI news, social media realities, and product-building tradeoffs — with plenty of laughs along the way.
View all episodes
By Georgia Smith and Matthew GillardAfter a whirlwind summer break (Georgia was in Australia, the US, Switzerland, France and back to the UK), your hosts return to talk fake spring in Melbourne, big AI news, and the latest progress in our Agentic AI Experiment.
🚀 AI News Highlights
Gemini Nano Banana (2.5 Flash): Google’s new multimodal model nails hands (finally) and shines at storyboarding with JSON prompts.
Kimi K2: A front-end coding powerhouse from China’s Moonshot AI — cheaper than Claude Sonnet 4, though backend isn’t its strong suit.
GPT-5: Quietly flexing its ability to augment answers with real-time web searches.
Regulation: Australia looks set to ditch bespoke AI laws — a move we (cautiously) support.
Cloud & Infra: AWS NZ finally opens after a 4-year wait, while Oracle’s $300B OpenAI deal catapults Larry Ellison to the #1 richest spot.
🤖 The Agent Experiment: Content Co-Creator
We update you on our experimental AI system designed to help creators generate social content ideas.
The Vision: AI that uses your interests, calendar, and activities to suggest posts, captions, and even storyboards.
The Hurdles:
Social APIs = pricey + restrictive
Scraping trending content = messy (lots of “weird” results)
TikTok ≠Instagram: their algorithms play by very different rules
Creator Insights: TikTok’s algorithm makes it easier to go viral from scratch — and creators earn more there than on Insta.
❤️ The MLP (Minimum Lovable Product)
Instead of chasing APIs, we’re starting simpler:
Web app that asks about passions & activities
Optional calendar integration
AI-generated content ideas + Nano Banana-powered storyboards
Real-world testing on ourselves first
And with Instagram’s new “Edits” feature echoing this direction, the market clearly agrees.
🔮 What’s Next
Iterating the Content Co-Creator with real feedback
Upcoming episodes on renewables + data center power
Inviting listeners to weigh in ([email protected])
This episode blends AI news, social media realities, and product-building tradeoffs — with plenty of laughs along the way.