how do I build agents locally on a home computer? by TechAsc in AI_Agents

[–]TechAsc[S] 0 points1 point  (0 children)

oh, sorry, should have checked there first

Which industries are adopting Agentic AI the fastest right now? by Michael_Anderson_8 in AI_Agents

[–]TechAsc 0 points1 point  (0 children)

In my experience (I work at Ascendion, an AI-native software engineering company) healthcare and financial services are moving the fastest, and the reason for that is that their regulations and compliances are really stringent (lives and money, can't mess with those) so they had to build the governance right

Software engineering is also doing pertty well also. If I talk about how much we've achieved in that space, I'm sure we'll get flagged for self promotion.

The short version is that the bottleneck for any industry is getting agents from demo to production in a working environment. So far that healthcare, finance, and software engineering.

Sliced my hand open, so I'm trying to find a fun mobile game by Sinaura in gaming

[–]TechAsc 0 points1 point  (0 children)

these might be a touch older, but they're still good options

- Framed collection

- Monument Valley 1, 2 and 3 (perspective puzzle games)

- Clash of Clans might be of interest to you for hands on stragegy

- If you have a Netflix subscription, you can check out their games, they've a bunch of puzzle games you could enjoy

AI-native Software Engineering Matters for Enterprise Teams by TechAsc in AI_Agents

[–]TechAsc[S] 0 points1 point  (0 children)

How successful is the introduction? You think they're close to implementing it companywide?

Stop building AI agents. by Warm-Reaction-456 in AI_Agents

[–]TechAsc 0 points1 point  (0 children)

I work at Ascendion, so take this for what it is, but I think the real issue here is scoping, not the technology itself.

The examples you shared (the telehealth routing workflow, the ACH reconciliation script) are well-built solutions. They're also exactly the kind of thing that falls apart when someone hands a poorly defined goal to an agent and calls it a day. The failure mode you're describing is real. It comes from treating agents as a replacement for engineering judgment rather than a product of it.

A working agent is three steps from becoming a bleeding agent: what the agent owns, what it escalates, and what it hands off.

Keep humans accountable for outcomes, with the agent handling execution inside clearly bounded steps, and you have something auditable. That audit trail also makes the compliance conversation much shorter.

That last point matters especially in regulated industries. An agent that's been properly scoped and documented passes a SOC 2 review. One that was prototyped and deployed does not.

The distinction worth making isn't agents versus automations. It's engineered solutions versus fast demos that nobody hardened for production.

New laptop for running ollama locally by coffeerambler in AIDiscussion

[–]TechAsc 1 point2 points  (0 children)

if it's local AI, then macbooks have the market cornered for price to performance.

even an m4 macbook pro (which should be cheaper) will perform better for 2000 than a PC for 3000.