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I Got Tired of Rebuilding the Same Backend Logic for Every AI Agent… So I Built InvokeAPI

Hey Builders

Over the last year, I’ve spent a lot of time building AI workflows, automation tools, and async agents , and no matter what I was working on, I kept running into the same friction:

  • Long-running tasks that needed retries and job tracking
  • Webhooks that had to fire only when the work was done
  • Merging PDFs or generating invoices from JSON
  • Scraping metadata from a URL
  • Keeping the logic clean without writing the same boilerplate again and again

At some point, I realized… I was wasting more time wiring up infrastructure than actually building new ideas.

And like many indie hackers and developers before me , I scratched my own itch.


The Idea Behind InvokeAPI

I started working on InvokeAPI as a way to offload those repetitive, heavy-lifting backend tasks I kept rebuilding for every new agent.

The idea was simple:
One API that handles async functionality like:

  • PDF merging
  • JSON-to-invoice generation
  • Metadata scraping
  • Long-running job execution with webhook support

You send a request → it processes the job asynchronously → you poll or receive a webhook when it’s done → done.

No queues. No workers. No setting up servers.

Just plug it into your AI agent or automation flow and focus on what matters: building intelligence, not infrastructure.


Where We Are Now

Right now, InvokeAPI is in beta, and I’m talking to other builders especially those working on AI agents or multi-step automation flows to gather real-world feedback.

We're using this feedback loop to:

  • Identify the most painful parts of agent workflows
  • Prioritize which APIs to build next
  • Shape the product into something that feels like a natural extension of how agents operate

It’s been exciting (and a little scary) to build in the open like this but that feedback loop is already proving more valuable than any feature I could’ve guessed on my own.


Scratching Your Own Itch Works

If there’s one thing I’ve learned from this process so far, it’s this:

When something annoys you repeatedly that’s not a blocker, it’s a blueprint.

The tools we create from our own friction points often become the most useful, because they’re grounded in real, frustrating, day-to-day problems.

InvokeAPI was born because I got tired of rebuilding queues and scraping pipelines. Now I’m hoping it helps others skip that same pain and just build.


Would Love to Hear From You

If you’re building agents, async automations, or chaining together tools and APIs:

What’s one piece of functionality you wish existed as a plug-and-play API?

I’d love to hear what you're working on and what kind of tools could save you hours.


Appreciate you reading this far and if you're curious to try the beta, you can check it out here:
👉 https://invokeapi.dev 🚀

on July 17, 2025
  1. 1

    this is very relatable. we found that once workflows start involving retries, state checkpoints, and external systems, simple glue logic falls apart fast. what has helped us most is breaking workflows into small resumable steps rather than trying to handle everything in one shot.