Are you already bringing AI agents into your business?
by•
Everyone’s been talking about AI Agents over the past year.
But the real leverage doesn’t come from the agent itself. It comes from the context you provide:
-well-structured goals,
-clear workflows,
-up-to-date documentation,
-practices that are shared across the team.
Most companies actually struggle here. Knowledge is passed around verbally, documentation is outdated, processes are non-documented.
AI agents flip this upside down: the better context you give them, the stronger they become.
-Are you already experimenting with agents for teams and companies, or do you still see them mainly as personal productivity tools?
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minimalist phone: creating folders
Which AI Agents are your favourites? I remember how I tried Tanka or Notis for Notion.
@busmark_w_nika Honestly, I’ve played around with n8n and Lindy, but I’m still not particularly satisfied. Too much oversight is required, and things in the chain keep breaking regularly.
You're totally right, Companies has to be aware about what they are giving as input to agents otherwise it can make such a mess which take too much time to resolve.
@moeez_ur_rehman1 yep
have to tried already to bring AI Agents ?
@byalexai Yeah, I'm pretty much into it and try to follow what I said at top.
I've noticed a lot of companies, especially knowledge-heavy ones (consulting firms, educational orgs), are starting to train their own AI models using their internal knowledge bases.
@christyfea Expected. There are huge downsides to relying on the big LLMs, so training your own models is key. Can you share specific companies you know are already working this way?
We use every day 1000 Calls by @Famulor – AI telephony agent
@ikoma nice!
Can you share some insights?
@byalexai sure! 🚀
We run daily ~1000 outbound & inbound calls for a solar company.
Main insights:
Qualification: AI agent filters 60–70% of unqualified leads before they reach sales.
Speed: Average response time <2s, so customers don’t even realize it’s AI.
Conversion: Appointments booked directly into CRM, ~20% uplift vs. manual calls.
Scalability: Peak days up to 1500 calls without extra staff.
Happy to share more details if you want!
TinyCommand
We’ve started experimenting with AI agents inside the business, not just for personal productivity.
The biggest shift I’ve seen is exactly what you pointed out: the agent is only as good as the context we give it. For example, when we tried using agents for customer support workflows, they only became useful once our internal knowledge base was structured and regularly updated. Without that, they just surfaced the same gaps our team struggled with.
So to me, agents aren’t replacing human effort yet they’re acting like an amplifier of process hygiene. If your workflows are well defined, the agent scales them. If not, it just highlights the mess.
Curious if others here are also treating agents more like process multipliers than independent problem-solvers?
Currently using it for personal tasks.
Totally agree that context is where the real power comes from.
We just launched NoForm AI today - it’s an AI sales agent that chats with visitors, qualifies leads, and drives sales. What makes it work well is that it is trained on the company’s data and docs, so it gives relevant answers instead of generic chatbot replies.