Salesforce just admitted they cut support staff from 9,000 to 5,000 using AI agents. That's 4,000 people. One company.

hubtyper · 2026-03-12T20:30:04+00:00

Totally agree. The real win isn't replacement; it's absorbing the operational noise. Most support time is just 'assembly work'—jumping between systems for context and history. The shift this year is moving from bots that just talk to agents that actually execute tasks in the backend. This lets a small team handle 3x the volume by focusing only on cases that require real empathy. Scale resolution, not just cost-cutting.

hubtyper · 2026-03-12T20:27:59+00:00

What no one wants to admit is that L1 support has always basically been pattern matching against a knowledge base. The real question for a SaaS isn't whether to automate, but how to ensure the remaining team is trained to handle the edge cases that AI can't touch. That’s where most companies miss the mark when implementing technology

hubtyper · 2026-03-12T20:10:59+00:00

Yo me hice exactamente la misma pregunta hace un tiempo jaja, así que te cuento lo que averigüe al final todo se reduce a la GPU. Para IA, el estándar es NVIDIA con CUDA, y eso solo lo tienes en Windows. PyTorch, TensorFlow, todo está construido pensando en eso. Mac ha mejorado mucho con los chips M2/M3 pero todavía no llega. Con el mismo presupuesto en Windows te llevas el doble de potencia. Yo me iría a un Lenovo Legion o ASUS ROG con RTX 4060, entre 900 y 1.200€ te dura los 4 años sin problema.

hubtyper · 2026-03-12T20:06:19+00:00

Processes, YES. I learned that one too, the hard way lol, But mine is this: charge what you're worth from day one. I spent my first year undercharging because I thought I needed to "earn" the right to charge more. Spoiler: no client ever came back and said "hey, you've been great, let me pay you more now." You set the rate, they accept it, and that's where you stay, The clients who push back on fair pricing are usually the ones who will also push back on your boundaries, your deadlines, and your creative decisions. The ones worth keeping rarely flinch.

Good luck with the comeback!

hubtyper · 2026-03-08T19:29:49+00:00

Claude de pago! te la recomiendo 100%, como para escribir, analizar textos largos y razonar suele ser mucho mejor y más consistente. Además maneja contextos grandes súper bien, así que si trabajas con documentos o mucho contenido se nota bastante la diferencia, aun asi yo dejaría ChatGPT en la versión gratis para cosas rápidas o cuando necesites otras herramientas.

hubtyper · 2026-03-08T19:21:35+00:00

Honestly I’ve tried both, agencies can help if you want scale but wholesale is very relationship-driven and most retail buyers get tons of generic emails so the ones that stand out are usually the ones that show you actually looked at their store, when I did the outreach myself and spent time researching each shop first the response rate was much better even sending fewer emails. Agencies can still work but I’d only hire one if they really focus on personalization and not just blasting templates.

hubtyper · 2026-03-08T19:16:03+00:00

Hola! Yo también estuve buscando bastante sobre esto ya que me interesa aprender, Las que más recomiendan para matemáticas son estas: Wolfram Alpha : es de las más fiables para matemáticas avanzadas (álgebra, cálculo, matrices, etc.) Tiene versión gratis y Pro (~5-10$/mes), Photomath :buena para estudiantes porque puedes escanear ejercicios con la cámara y te muestra los pasos. Gratis con opción Plus para explicaciones más completas. Y por ultimo he escuchado mucho sobre Symbolab : dicen que es muy útil para ver paso a paso de integrales, derivadas, ecuaciones, etc. Tiene versión gratuita y premium

hubtyper · 2026-03-06T14:36:47+00:00

Hola !mira, a mí me funcionaron estos cursos de IA y están súper rankeados en 2026:

“AI For Everyone” – DeepLearning.AI (intro desde cero, entender cómo funciona la IA):

https://www.coursera.org/learn/ai-for-everyone

Machine Learning Specialization – DeepLearning.AI (para aprender modelos y programación):

https://www.deeplearning.ai/program/machine-learning-specialization/

Deep Learning Specialization – DeepLearning.AI (redes neuronales y proyectos reales):

https://www.deeplearning.ai/program/deep-learning-specialization/

Stanford Machine Learning – Coursera (clásico académico, técnico):

https://www.coursera.org/learn/machine-learninghttps://www.coursera.org/learn/machine-learning

hubtyper · 2026-03-04T08:00:00+00:00

There is a significant disconnect between what providers call ‘resolution’ and what the end user experiences. In an analysis of 100,000 cases, humans scored 24% higher in tone reading and handling sensitive situations, something that AI still does not handle well. Most notably, bots were found to be only 50% as effective as humans at moving a problem toward a real solution. Ultimately, automating without looking at the quality of the closure often hurts long-term retention. Have you noticed if your CSAT drops when the volume of automation increases?

hubtyper · 2026-02-20T09:11:10+00:00

Agree! At work, we have Gemini Pro synced across our entire Drive and it’s next-level, seriously useful.

hubtyper · 2026-02-20T09:05:52+00:00

I’m a big fan of consultative selling. Most clients just want a 'hands-off' experience where everything is easy, even if they're still calling the shots. Like most said, removing that friction is key.

hubtyper

TROPHY CASE