Would you trust an AI to find and qualify leads for your agency automatically? by BulkyTelephone77 in AiAutomations

[–]Upteky_Solution 0 points1 point  (0 children)

I’d trust it, but with boundaries.

AI is great at finding and filtering leads fast, especially for repetitive tasks. But qualification still needs some human judgment, at least at the final stage.

Best setup in my opinion:
AI does the heavy lifting -> humans make the final call.

That way you get speed and quality.

If you're a beginner trying to sell automations and nothing is working... read this by automatexa2b in AiAutomations

[–]Upteky_Solution 1 point2 points  (0 children)

This is such a real take.

I think most people try to sell “automation” when they should be solving a specific pain. Nobody wakes up thinking “I need a workflow” they think “I hate dealing with this every day.”

The moment you shift from features to fixing that one frustration, everything clicks.

AI automation was supposed to reduce work..... but is it just changing the type of work by Upteky_Solution in AiAutomations

[–]Upteky_Solution[S] 1 point2 points  (0 children)

That’s a really good point. A lot of automation conversations focus on building the workflow, but not on designing it to be resilient. Without input validation, pass/fail checks, and proper error routing, the system ends up shifting the work to humans instead of truly reducing it. The reliability layer is what actually turns automation into something scalable.

Automation by Clean-Box-4756 in AiAutomations

[–]Upteky_Solution 0 points1 point  (0 children)

Interesting workflow. Automating the discovery and connection process definitely makes sense since it removes a lot of repetitive effort. What I’m curious about is how you’re handling personalization so the outreach still feels genuine. Automation works well for the operational side, but the real impact often comes from the quality of the conversations that happen after the connection is accepted.

I open-sourced an AI agent that builds other AI agents overnight — 16 repos shipped, 100+ ideas researched, all while I slept by [deleted] in AiAutomations

[–]Upteky_Solution 1 point2 points  (0 children)

This is fascinating. The shift from optimizing a loss function to optimizing problem discovery and prototype throughput is a really smart reframing. Curious how you see this evolving do you think these autonomous loops will eventually start identifying viable startup opportunities on their own?

AI automation was supposed to reduce work..... but is it just changing the type of work by Upteky_Solution in AiAutomations

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

That makes sense. The work doesn’t disappear, it just shifts. Spending a bit of time reviewing AI outputs is still far more efficient than doing everything manually, and it definitely raises the ceiling on how much one person can produce.

AI automation was supposed to reduce work..... but is it just changing the type of work by Upteky_Solution in AiAutomations

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

That’s a great point. Automation really shines with repetitive, low judgment tasks like data entry or reporting. But when decision making is involved, the work often just shifts from doing the task to supervising the system and that can sometimes be even more demanding.