Back to field notes Field Note

AI Overload and Ambition

A field note on how AI makes software easier to start than ever, while still exhausting builders long before the prototype becomes usable.

AI makes the start feel unbelievably accessible

A few months ago, building software meant you needed engineers, funding, and a lot of patience.

Today, someone with an idea can sit down on a Sunday afternoon and build something real with OpenAI, Anthropic, and a browser.

That part is genuinely amazing.

But the same pattern keeps showing up

People get excited.

They start building.

Then slowly the energy drains away.

Not because the idea was bad.

Not because they were not smart enough.

It happens because the path from prototype to usable software is still full of traps.

One trap is sheer volume

The AI gives you everything.

Massive answers. Massive plans. Massive architecture diagrams.

At first it feels impressive.

Then your eyes glaze over.

You stop reading carefully and start skimming.

I do it too.

Another trap is ambition inflation

Someone says:

"I want to build a platform that can scale to a million users."

Which sounds reasonable.

But suddenly the AI proposes distributed systems, event buses, Kubernetes clusters, microservices, observability stacks, vector databases, CI/CD pipelines, and multi-region failover.

You went in wanting to test an idea.

Now it feels like you are planning a moon landing.

So the project quietly dies.

Then comes the tooling spiral

You ask:

"How do I make this production ready?"

And now you are signing up for Amazon Web Services, Supabase, GitHub, monitoring tools, auth tools, email tools, vector databases, workflow engines, and more.

A few weeks later you are paying hundreds of dollars a month for services you barely understand yet.

And the unsettling part is that you are not even fully sure what will break if you cancel something.

Tiny technical problems do real emotional damage

Not the hard problems.

The stupid ones.

  • A broken SSL certificate
  • A deployment issue
  • One missing environment variable
  • A Docker port mismatch
  • A redirect loop

These are the kinds of things that can be fixed.

Eventually.

But instead of taking five minutes, they consume an entire day.

And that day matters because momentum matters.

Most early projects die from exhaustion, not technology

Most early projects do not die because of technology.

They die because the builder gets exhausted.

That is the part I think the industry still underestimates.

We are entering a world where millions of people can finally express ideas that previously stayed trapped in their heads.

That is a beautiful thing.

It would be a shame if those ideas dissolved into: "I almost built something once."

Bring the promising prototype before the momentum disappears

If an AI project already showed signs of life but now feels buried under scope, tools, or operational friction, Midfield can help narrow it back to something usable and worth continuing.

30 minute consultation - $50 60 minute consultation - $100 Satisfaction guaranteed