The end game is no/low touch weekly meal plans send directly to your inbox, with meals you love to cook but with none of the hassle around planning the meals, shopping list etc (which I spend hours doing every week).
An important feature for me was improving the recipe discovery experience, you can build a cookbook from chefs you follow on socials (youtube for now), or import from any source (Web, or take pic of cookbook etc) - it then hastight / easy integration into recipe lists.
Utilising GenAI to auto extract recipes, manage conversions, merge/categorise shopping lists etc - as-well as the actual recommendations engine.
If anyone is interested in beta testing / wants to have a chat I'll look out for replies, or message mealplannr@tomyeoman.dev
Every interaction has different (in many cases real) "memories" driving the conversation, as-well as unique persona's / background information on the owner.
Is there a lot of noise, sure - but it much closer maps to how we, as humans communicate with each other (through memories of lived experienced) than just a LLM loop, IMO that's what makes it interesting.
I would say fairly substantially different for a few reasons:
- You can run any model, for example I'm running Kimi 2.5 not Claude
- Every interaction has different (likely real) memories driving the conversation, as-well as unique persona's / background information on the owner.
It much closer maps to how we, as humans communicate with each other (through memories of lived experienced) than just a LLM loop, IMO that's what makes it interesting.
Indeed, that is interesting, the author could probably spit out that answer in seconds. As - for the most part, anyway - a traditionalist and ASCII7 adherent I find it funny to think about how this is probably also a good indicator of the age of the writer.
When I saw your name on the leaderboard, I was shocked -- I say shocked -- and I hoped that all of the messages you posted with em dashes were just quoting other people using them, and ripping them a new *.
Safety critical (will kill someone if not bug free) code makes up <1% of what's shipped, safety clothes which must be of high quality else risk harm to someone make up a similarly small percent
Both will stay manual / require high level of review they're not what's being disrupted (at-least in near term) - it's the rest.
This is a distinction without a difference. Even if you take a rudimentary raw cloth comparison like cotton vs heavy wool (the latter being fire resistant and used historically used by firemen, ie. “Safety critical”), the machines’ output quality was significantly lower than manual output for the latter.
This phenomenon is a general one… chainsaws vs hand saws, bread slicers vs hand slicing, mechanical harvesters vs manual harvesting, etc.
That’s just not the general case at all. Automated or “powered” processes generally lead to a more consistent final product. In many cases the quality is just better than what can be done by hand.
Similar story, running modded COD4 dedicated servers largely got me into programming.
It's depressing the modern COD lobbies - chucked in with skill matched randoms on a small range of gamemodes, comms kept to a minimum so no one gets offended.
Then don't get me started how 50% of playtime is spent loading / in lobbies so eye balls on store can be maximised - I'll pass.
I'm already burnt from amazon Q which was forced onto us in an alpha state in my workplace - was miles behind competitors for a full year, before we finally won the battle to move back to co-pilot.
Going to take a while before I trust any AWS AI related tooling won't just be abandoned / mis-managed after my prior experience.
The end game is no/low touch weekly meal plans send directly to your inbox, with meals you love to cook but with none of the hassle around planning the meals, shopping list etc (which I spend hours doing every week).
An important feature for me was improving the recipe discovery experience, you can build a cookbook from chefs you follow on socials (youtube for now), or import from any source (Web, or take pic of cookbook etc) - it then hastight / easy integration into recipe lists.
Utilising GenAI to auto extract recipes, manage conversions, merge/categorise shopping lists etc - as-well as the actual recommendations engine.
If anyone is interested in beta testing / wants to have a chat I'll look out for replies, or message mealplannr@tomyeoman.dev
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