u/Diamond_1974

After building AI products for the past year, I noticed something.

A lot of "AI developers" aren't building AI.

They're building API wrappers.

There's nothing wrong with that.

But adding an LLM to an app isn't the hard part anymore.

The hard part is:

Evaluation

Memory

Context engineering

Agent orchestration

Failure recovery

Cost optimization

User experience

Guardrails

The model writes 100 lines of code in seconds.

You'll spend weeks making those 100 lines reliable.

Ironically, AI didn't eliminate software engineering.

It made good engineering more valuable.

Has anyone else felt this shift?

After building AI products for the past year, I noticed something.

A lot of "AI developers" aren't building AI.

They're building API wrappers.

There's nothing wrong with that.

But adding an LLM to an app isn't the hard part anymore.

The hard part is:

Evaluation

Memory

Context engineering

Agent orchestration

Failure recovery

Cost optimization

User experience

Guardrails

The model writes 100 lines of code in seconds.

You'll spend weeks making those 100 lines reliable.

Ironically, AI didn't eliminate software engineering.

It made good engineering more valuable.

Has anyone else felt this shift?

I kept adding agents until I realized the real improvement came from giving each one a single responsibility.

Fewer agents. Better prompts. Better architecture.

What's your ideal number of agents in a workflow?

Genuine question.

Every new AI stack seems to include RAG + MCP + Agents + Memory + Tools.

At what point does a well-designed MCP server replace the need for RAG, and when is RAG still the better choice?

Curious how experienced builders are deciding between the two.

Genuine question.

Every new AI stack seems to include RAG + MCP + Agents + Memory + Tools.

At what point does a well-designed MCP server replace the need for RAG, and when is RAG still the better choice?

Curious how experienced builders are deciding between the two.

A year ago, I was learning.

Today, I'm building an AI-first company.

I'm currently building OpenVoice AI — starting with AI phone agents and expanding into an AI communication platform where businesses can automate conversations across calls, WhatsApp, email, and more.

I'm not chasing the next wrapper.

I'm obsessed with solving real business problems:

Businesses missing leads because nobody answers the phone.

Teams wasting hours on repetitive conversations.

Customer support that doesn't scale.

AI agents that actually work together instead of existing in isolation.

Every day I'm coding, testing, breaking things, and learning.

No funding. No big team. Just building.

I'd love to connect with:

Founders building AI products

People obsessed with AI agents

GTM and growth experts

Anyone who believes AI should solve real problems, not just generate text

What's the biggest problem you're building or trying to solve right now?

I'd genuinely love to hear your story.