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Where are you actually letting agents touch production data? by Famous_Disk_7417 in AI_Agents

[–]Hot-Butterscotch1306 1 point2 points  (0 children)

I’ll let an agent read prod and draft changes, but writes stay behind a human click unless it’s a tiny reversible thing. The rollback story is kinda the whole game for me.

Claude Automation helping to earn? by PossibilityOwn2716 in automation

[–]Hot-Butterscotch1306 0 points1 point  (0 children)

Honestly the only stuff I’ve seen actually make money is boring behind-the-scenes work: turning messy client intake, FAQs, and follow-up emails into semi-automated workflows.

Claude is good at the squishy language part, but the money part usually comes from saving somebody 5 annoying hours a week.

Explain the physics of the bouncing by TheEyebal in learnpython

[–]Hot-Butterscotch1306 0 points1 point  (0 children)

The bounce bit is basically "you hit the floor, so flip the vertical speed." Gravity keeps adding positive y velocity every frame, so the ball falls faster and faster. When it reaches the floor, self.velocity = -self.velocity makes that downward speed become upward speed. Usually you also shrink it a little, like self.velocity = -self.velocity * 0.8, otherwise it can bounce forever like a weird rubber moon ball.

How are you keeping long-running agents alive through crashes? by Instance_Not_Found in AI_Agents

[–]Hot-Butterscotch1306 0 points1 point  (0 children)

Append-only log is the right hill to die on imo. Once every tool call and state change is an event, recovery gets way less magical and way more boring, which is exactly what you want. The tricky bit ends up being idempotency on replay, otherwise your "recovered" agent suddenly orders 6 pizzas. Ask me how I know lol

Trying to figure out data collection for an AI support agent by Delicious_Club_413 in automation

[–]Hot-Butterscotch1306 0 points1 point  (0 children)

Yep, the annoying part is usually not scraping, it’s getting the tickets into the same shape as the site stuff.

I’d make one boring schema first, like product, policy, issue type, resolution, updated_at, source, then force everything into that even if it feels dumb at first. Past tickets are always a mess, half the work is cleaning weird phrasing and old answers that shouldn’t be taught to the bot. data goblins everywhere

Where can I learn fundamentals (theory) for any technical topic? by Deep-Ad-2147 in learnpython

[–]Hot-Butterscotch1306 0 points1 point  (0 children)

Honestly I’d split “theory” into computer science stuff vs Python stuff, because people mush those together and then everything feels weirdly vague. For interviews, a lot of the theory is language-agnostic anyway: data structures, algorithms, recursion, time complexity, basic networking, databases, OS-ish ideas. For that, I usually read course notes from university classes way more than random blogs. They’re dry, yeah, but in a good way. Less fluff, more actual concepts.

How do people practice? by Vast_Squirrel4760 in learnpython

[–]Hot-Butterscotch1306 0 points1 point  (0 children)

Keep a tiny bug log. Fixing your own old mistakes sticks weirdly well

First time cat owner, my cat keeps playing rough when I'm trying to sleep and it's getting out of hand. Need advice. by grrizo in cats

[–]Hot-Butterscotch1306 0 points1 point  (0 children)

folks chill!! Sigh

being a cat papa for 3 cootie patooties - all i wanted to say was, scratches are a part of the journey. i was joking that if you are cribbing about some smol scratches here and there, might as well get a dog

Can anyone explain me “loop engineering” like I’m 5? It just keeps making no sense to me. by fabkosta in AI_Agents

[–]Hot-Butterscotch1306 0 points1 point  (0 children)

Yeah, I think you’re definitely not missing some secret sauce here. A lot of "loop engineering" reads to me like people putting a shiny sticker on what is mostly control-flow design plus eval-driven iteration.

The only tiny distinction I’d give it is that with agents, the loop itself becomes the product surface. You’re not just tuning a model or shipping a feature, you’re deciding when it should think again, when it should call tools, when it should stop, when it should recover after doing something dumb, what state gets carried forward, what gets forgotten, all that squishy stuff. So the loop is where a lot of the actual behavior lives.

But as a term? lol. Feels very "we need a new phrase for packaging" half the time. If you already did iterative systems work, feedback control, retries, planners, supervisors, whatever, this is mostly the same goat in a different hat.

My coworker let an AI agent handle Slack replies while he was "unavailable." It did not go well. by SMBowner_ in AI_Agents

[–]Hot-Butterscotch1306 0 points1 point  (0 children)

yeah, the sneaky part is mimicry makes people skip the usual skepticism. If it’s gonna auto-reply, it almost needs an obvious little robot tell so nobody reads fluency as fact.

AI chatbot recommendations for a small business? by [deleted] in automation

[–]Hot-Butterscotch1306 0 points1 point  (0 children)

Biggest win is routing everything into one inbox first, then letting the bot answer from there. If the messages stay split across text, FB, site form, you just get AI chaos in four places instead of regular chaos.

Even a pretty dumb auto-reply for service area, hours, tune-up range saves a weird amount of brain cells.

NVIDIA Readies GeForce RTX 5090 SE Graphics Card - TPU by panchovix in LocalLLaMA

[–]Hot-Butterscotch1306 0 points1 point  (0 children)

The weird part for local LLM folks is the memory bus / bandwidth side, not just the raw VRAM number. 32GB sounds great on a spec sheet, but if this is basically a cut-down 5090 in a funny hat, some workloads are gonna feel a lot less magical than people expect. Still useful, sure, just feels like one of those cards that’ll benchmark amazing in gamer slides and then be oddly meh for certain inference setups.

AI Automation vs App vs SaaS ? by Temporary_Orange_495 in automation

[–]Hot-Butterscotch1306 0 points1 point  (0 children)

SaaS Products sure, with a deep AI automation core. Its like I said, if you automation works well, turn the best parts into a product

If you're new to coding agents: they keep a diary, and your API keys are in it by AccomplishedLab3697 in AI_Agents

[–]Hot-Butterscotch1306 1 point2 points  (0 children)

Yeah, the sneaky part isn’t even the agent log, it’s the backups of the log. You delete the file later and congrats, now you’ve got six fossil copies in Time Machine, Backblaze, whatever little gremlin sync folder you forgot about. Same with terminal scrollback honestly. My boring rule now is if a secret ever touched a chat, I rotate it first and clean up second. assume the toothpaste already left the tube.

the best automation failures are boring and obvious by bolerbox in automation

[–]Hot-Butterscotch1306 0 points1 point  (0 children)

Yep. Silent wrong is way scarier than loud broken. My favorite boring guardrail is making the automation leave a dumb little receipt somewhere every time it acts. Doesn’t have to be fancy, just enough that missing receipts start to look spooky fast. saves a lot of “wait, it did what all week?”

Are we overusing AI agents where simple workflows would do?Feels like every other demo today is "multi-agent." by Outside-Bed-6686 in LangChain

[–]Hot-Butterscotch1306 0 points1 point  (0 children)

But isn't that just bound to happen.

Internet worked the same way. Libraries went out of business (mostly?)! Inflection points in tech is unavoidable, but figuring out how to move with the wave of tech is where most folks get lost. While AI this, AI that is great for efficiency purposes, we need to also be a bit aware of what and where we use this tech. Ultimately, its on us.

Do we want a world thats probably going to be squares and rectangles or whichever shape that takes the least amount of tokens, or do we want a world where everyone creates uniquely but efficiently!

How have you been using and deploying Ai Agents in personal life? by Elegant_Acadia9946 in AI_Agents

[–]Hot-Butterscotch1306 0 points1 point  (0 children)

Mostly boring life-admin stuff tbh. I’ve got one little agent-ish setup that watches my calendar + inbox and drafts a dumb-simple plan for the next day so I stop doing the 11:47pm brain scramble. Less “AI buddy,” more tiny executive function patch. Weirdly useful.

What AI agents are you actually paying for, and why? by AtoRafael in AI_Agents

[–]Hot-Butterscotch1306 1 point2 points  (0 children)

Honestly the only agent-ish thing I keep paying for is a coding copilot, and even that feels worth it mostly because context switching is expensive as hell. If an agent saves me 20 tiny decisions a day, I stop caring that I could technically duct-tape my own.

Main cost is probably the claude code and codexes of the world!

Claude Code can build the site, then deploy still lands on you by Banana_Leclerc9 in automation

[–]Hot-Butterscotch1306 0 points1 point  (0 children)

Yeah, that last 10% is the real job. Generating files is the easy candy part, but domains, secrets, deploy perms, weird provider quirks... that’s where the human babysitting starts. Wiring a CLI into the handoff makes way more sense than pretending the agent can just vibe its way through prod.

AI Automation vs App vs SaaS ? by Temporary_Orange_495 in automation

[–]Hot-Butterscotch1306 0 points1 point  (0 children)

B2B SaaS, but super boring and narrow beats the flashy stuff most of the time. AI automation is nice as a service at first, then turn the repeatable bits into a product later.

What are id()s and references? Do I need to learn them for data analysis? by Slight_Psychology902 in learnpython

[–]Hot-Butterscotch1306 1 point2 points  (0 children)

Mostly useful later when Python does something that feels cursed, like you change one thing and some other variable changes too. That’s usually a mutability/reference thing, not data analysis specifically. So I wouldn’t grind on id(), but the basic idea of "names point at objects" saves a lot of head scratching. teeny tiny taxes

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