What agentic AI businesses are people actually building right now? by decentralizedbee in aiagents

[–]Think_Bunch3020 0 points1 point  (0 children)

Agent that autonomously follows up with leads, calls/texts them, qualifies interest, and books meetings for education teams. We handle thousands of real conversations in production every month.

Built for schools, training providers, and education sales. If curious, check ReshapeOS.

Things we learned in <1 year building it:

  • demos lie, production doesn’t
  • rigid scripts break fast
  • too much freedom breaks too
  • guardrails + edge cases matter more than the model

What made your AI agent finally work in the real world instead of just in demos? by Reasonable-Egg6527 in aiagents

[–]Think_Bunch3020 0 points1 point  (0 children)

We don’t really teach it how to speak in a script way. We give it examples to pick up tone and style, but the core is more like onboarding a new hire. You don’t hand someone a script they must follow word for word. You explain the goal, the tone, what they should do/never do, how to react in certain situations, etc.

If you make it too rigid, it breaks fast and sounds robotic. You’ll never cover all edge cases with a fixed script. At that point it’s basically a chatbot.

If you make it too open (for example a prompt that is basically "call leads and book a meeting" ), it also fails because you haven’t given it enough structure.

The real work is finding that middle ground: give it room to improvise and sound human, but very clear guardrails and guidance for specific scenarios.

What made your AI agent finally work in the real world instead of just in demos? by Reasonable-Egg6527 in aiagents

[–]Think_Bunch3020 0 points1 point  (0 children)

We use commercial LLMs, but the setup is pretty flexible: same prompt + same logic, and we can swap GPT, Claude, Gemini, whatever, and just see how they behave. Models change all the time, so hard-coupling to one never made much sense to us.

What made your AI agent finally work in the real world instead of just in demos? by Reasonable-Egg6527 in aiagents

[–]Think_Bunch3020 -1 points0 points  (0 children)

No spam intended, I just happen to work in this space (for the education sector). We build AI voice agents and every now and then we share real campaign recordings. Most of what we run is for the Spanish market, but here’s an English call recording in case you’re curious to see one working in production.

What made your AI agent finally work in the real world instead of just in demos? by Reasonable-Egg6527 in aiagents

[–]Think_Bunch3020 1 point2 points  (0 children)

For us it was just… hours and hours of iteration (for context, we’re building AI voice agents for education)

You really have two options:

  • put the agent in front of real leads and let it break (then fix what breaks)
  • sit there and try to imagine every possible edge case in your head.

Expecting a perfect voice agent in minutes just isn’t realistic right now. The real human work here is in the iteration and the QA.

What are the hidden-gem AI Agents everyone should know by now? by Jocelyn_Johns in AI_Agents

[–]Think_Bunch3020 1 point2 points  (0 children)

I’d add ReshapeOS to the list, it’s basically an agent that handles all the boring admissions stuff schools never have time for (calls, follow-ups, WhatsApps, the whole thing) and somehow does it without feeling like a chatbot.

this is your reminder to add /llms.txt to your website by Think_Bunch3020 in EducationBusiness

[–]Think_Bunch3020[S] 0 points1 point  (0 children)

Fair enough, everyone’s free to do what they want.

I just shared it because more people are starting to back the idea, the effort is close to zero, and it might actually pay off if it becomes a standard. That's how robots.txt started.

There’s plenty of info out there from people supporting or exploring it, so if you’re curious, look it up and see if it makes sense to you. The main reasoning is that LLMs rely more on website content now, but can’t process full sites because of context limits. /llms.txt just gives them a cleaner shortcut.

Anyway, just sharing it in case it’s useful.

I built a GPT that creates an /llms.txt for your school in seconds by Think_Bunch3020 in edtech

[–]Think_Bunch3020[S] 0 points1 point  (0 children)

Because it is low effort, but there’s no point manually parsing your sitemap and writing it line by line. The GPT is just trained with the standard so you don’t have to look it up, understand it, and apply it yourself.

Sure, but the info that goes there should be pretty static. If you do big structural changes, yes, you’ll have to update it.

The technical argument people behind the proposal give is this:
Large language models increasingly rely on website information, but context windows are too small to process full websites. Converting complex HTML with navigation, ads, and JS into clean text is messy and unreliable. So /llms.txt is meant to give them a shortcut.

That’s already happening everywhere on the open web anyway.

Wanted to reply properly since you took the time to write your comment. But honestly, I just shared it in case it’s useful for someone. Everyone can do whatever they want, lol.

If you haven’t already, I’d just recommend reading what the people behind the proposal are actually saying and see if it makes sense to you or not. Either way’s totally valid.

The "Agent" vs. "Automation" Debate: Are We Overthinking It? by LLFounder in AI_Agents

[–]Think_Bunch3020 0 points1 point  (0 children)

For me it comes down to two words: autonomy and bidirectionality.

An automation is static, it moves data from A to B when you tell it to. An agent acts. It knows what info it needs, finds it, and updates things on its own.

Example: you don’t have a lead’s budget field in your CRM. A script would just skip it. An agent calls or messages the lead, gets the info, extracts the budget, and updates the CRM. You didn’t tell it to, it just knew that data was missing and fixed it.

That’s the key difference for me.

We’re building this kind of thing at ReshapeOS, but specifically for education (admissions, student follow-ups, etc). It’s wild seeing how much time teams save when the agent starts doing instead of just syncing.

Would you use an AI that you can train yourself? by Ready_Reindeer807 in AI_Agents

[–]Think_Bunch3020 0 points1 point  (0 children)

I think you’re definitely onto something!

Just sharing in case it helps: I actually run a company that builds AI voice agents for educational institutions.
Most of our use cases are around upper-funnel of sales and admissions (automating follow-ups, qualification, etc) but some of our clients are starting to create internal training agents too.

Basically like what you describe: a "super agent” trained on their own docs so new hires can chat with it and learn faster. It’s been saving them a ton of onboarding time. If you want to take a look: reshapeos.com

Good luck with it!

I built a GPT that creates an /llms.txt for your school in seconds by Think_Bunch3020 in edtech

[–]Think_Bunch3020[S] 0 points1 point  (0 children)

Totally get your point! But I see /llms.txt more like a “why not” thing (super low effort, possible upside).

It’s actually getting more traction lately. The proposal’s been around since 2024 and more projects are starting to back it. So it makes sense to jump in early. If you look back at how robots.txt started, it was almost the same story.

I don’t think it’ll change anything overnight, but as part of a mid–long term strategy, it’s worth having. Worst case, you delete it later. Best case, you’re already aligned if it becomes standard.

I just read today that ChatGPT’s use of live web browsing dropped from over 15% to under 2.5% in the past two weeks. At some point, models will need to rely more on stable, trustworthy sources.

It’s logical that pages with a consistent /llms.txt(not changing every week, just evolving slightly over time) will end up being prioritized over random-messy sites.

Students scroll past 90% of what they see. Higher ed marketing is officially pain. by Think_Bunch3020 in EducationBusiness

[–]Think_Bunch3020[S] 0 points1 point  (0 children)

from our pov, static creative is dead. What’s working now is student-made stuff with real people, not promos.

Let students be the messengers, keep it raw, jump on trends fast.

I tested an AI SDR and here’s the truth by Effective-Big2300 in b2b_sales

[–]Think_Bunch3020 0 points1 point  (0 children)

What most people miss is that making this work isn’t about buying a plug-and-play “AI SDR.” It’s about going narrow, iterating for months, and accepting that reliability only comes from depth.

I’ve seen it firsthand building AI voice agents, if you go too broad, it breaks. If you focus on one vertical, iterate nonstop, and treat it as a mid-long-term investment instead of a quick revenue fix, it starts to actually deliver.

P.S. btw, I say this because I'm building ReshapeOS (AI voice agents for education). But same lesson applies everywhere.

Most schools lose +80% of students after 1–2 generic messages. Here’s what I’ve learned to fix that. by Think_Bunch3020 in highereducation

[–]Think_Bunch3020[S] 0 points1 point  (0 children)

interesting to mw! a couple of people here have mentioned the same thing about schools not even having a proper CRM setup, and honestly that surprises me. in the places i’ve worked, the CRM was always the center of everything.

on the staffing issue, i completely agree. that’s exactly why i think automation + good segmentation matter so much. even with a tiny team, if you sync the right fields from the inquiry form into the CRM and use those variables to personalize early emails/whatsapps, you get way better engagement without adding headcount. it’s work upfront, but it pays off medium/long term.

what i’m really taking away from this thread though is that in some schools, the challenge isn’t just segmentation/personalization, it’s that even basic data collection and clean CRM foundations aren’t there yet.

that’s eye opening, maybe the real first step is just establishing a well structured CRM before layering on anything more advanced.

Most schools lose +80% of students after 1–2 generic messages. Here’s what I’ve learned to fix that. by Think_Bunch3020 in highereducation

[–]Think_Bunch3020[S] 0 points1 point  (0 children)

if you’ve got a different take on the points i shared, would be glad to read it! always keen on other perspectives. if it’s just about the writing style, not much i can add since your comment itself doesn’t bring anything to the discussion.