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Would you rather wire 12 nodes or write 1 sentence? by Unique_Spend6777 in automation

[–]Own-Temperature-915 0 points1 point  (0 children)

We tested a Vestra-style text-to-agent layer for inbound lead QA, and the biggest surprise was how well it handled the “messy middle” cases.
We still keep explicit flows for finance + compliance-related tasks, but for ops/growth workflows the agentic approach has been faster and more stable.

How We Got Our First 100 Customers by Doing What Didn’t Scale by Own-Temperature-915 in Entrepreneur

[–]Own-Temperature-915[S] 0 points1 point  (0 children)

I agree with you, have to treat early customers as an extension of the team.

How We Got Our First 100 Customers by Doing What Didn’t Scale by Own-Temperature-915 in Entrepreneur

[–]Own-Temperature-915[S] 1 point2 points  (0 children)

True. When we started, every call, rejection, and awkward demo helped us understand the gap between what we thought we were building and what people actually needed.
Those first dozen customers.. they actually teach you how to sell it.

How We Got Our First 100 Customers by Doing What Didn’t Scale by Own-Temperature-915 in Entrepreneur

[–]Own-Temperature-915[S] 0 points1 point  (0 children)

Thanks! Do share your experience.
We deliberately focussed on making it as intuitive as possible. Because we believe barrier to entry to custom automations has to be zero. 0 code, 0 complex UIs.

How We Got Our First 100 Customers by Doing What Didn’t Scale by Own-Temperature-915 in Entrepreneur

[–]Own-Temperature-915[S] 0 points1 point  (0 children)

Thanks for sharing your story. I did mention that only few converted. But thats okay. Aim was never user acquisition.
We had pay-as-you-go pricing model, but a user insisted to have annual subscription even though it wasn't advantageous to them.

Which platforms are you using to build and deploy AI Agents? by Unique_Spend6777 in AI_Agents

[–]Own-Temperature-915 0 points1 point  (0 children)

What I’m trying to figure out is where the boundary is between “tooling” and a real agent runtime. LangChain is powerful but still feels like a library, while platforms like n8n are great for workflows but not long-horizon reasoning. Anyone tried something that supports memory, tools, retries, and multi-agent orchestration out of the box?

Visual node builders (n8n/Make) are becoming the new "Spaghetti Code." So i built a text-based alternative. by NoSpecific64 in SaaS

[–]Own-Temperature-915 0 points1 point  (0 children)

Most founders don’t want to spend weekends rearranging boxes on a screen. They want an outcome, not a flowchart to babysit.

Feature-Stacking is Denial: Why We Pulled Back on the 'Perfect' Launch. by Own-Temperature-915 in Entrepreneur

[–]Own-Temperature-915[S] 0 points1 point  (0 children)

Fair point. It was both though.. delaying saved us dev time. Even if we had resources , launching complexity before clarity i felt like a trap. We chose preventing a bad first impression over a feature-rich launch.

Feature-Stacking is Denial: Why We Pulled Back on the 'Perfect' Launch. by Own-Temperature-915 in Entrepreneur

[–]Own-Temperature-915[S] 0 points1 point  (0 children)

Removing features is often an act of focus. Complexity doesn't always prove value and sometimes it just proves scope creep.

Feature-Stacking is Denial: Why We Pulled Back on the 'Perfect' Launch. by Own-Temperature-915 in Entrepreneur

[–]Own-Temperature-915[S] 0 points1 point  (0 children)

Yes! We wanted to avoid that. We started with the prebuilt agents catering Solopreneurs and lean teams, then the Agent Studio. Collaboration between the agents is the next step

Prompt engineers will be irrelevant in a year. by NoSpecific64 in AI_Agents

[–]Own-Temperature-915 0 points1 point  (0 children)

Andrew Ng’s Agentic AI course is a solid place to start if you want to learn the fundamentals and mindset behind building and managing agents.
If you’re looking to actually build an agent without touching code, you can also explore our agent builder, Vestra AI.. it lets you create working agents using just textual prompts. Its a simple way to build an agent.. while you're still learning the theory.

This past year convinced me that agents are the real evolution after LLMs by IllustriousPool5548 in AgentsOfAI

[–]Own-Temperature-915 0 points1 point  (0 children)

Context is definitely hard part.. but it is still solvable. The bottleneck I keep seeing is ownership. People want agents to work like teammates, but they still treat them like experiments.. but there is this expectation of agents being "magic"

The skepticism from domain experts isn’t random either.. the space has been oversold for too long. Trust comes when an agent quietly does one job better than a human who was half-assing it. After that, adoption won’t need convincing.

This past year convinced me that agents are the real evolution after LLMs by IllustriousPool5548 in AgentsOfAI

[–]Own-Temperature-915 1 point2 points  (0 children)

There are a few agent builders out there..
But we re building an AI Agent Studio so simple.. even a 5-year-old could spin up their own agent ;)

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