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  3. /We one shotted an AI link building tool
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  3. /We one shotted an AI link building tool
1d agoPosted Nov 25, 2025 at 8:43 PM EST

We One Shotted an AI Link Building Tool

tscull
3 points
0 comments

Mood

excited

Sentiment

positive

Category

startup_launch

Key topics

AI
Link Building
Tool Development
Typescript
Trpc
We recently launched a feature that confused people, after explaining it to a few users we decided to vibe code a tool and see if we could do it in 1 shot

Hey I'm Tim, I run https://saasco.com, we're using ai to make a 100x cheaper version of hubspot.

We recently added a feature, but it was confusing so we one shotted an ai assistant tool using cursor and sonnet 4.5

What is the tool Users got confused about how to use utm tracking in our analytics so we built a tool that would generate correct utm tags using ai.

You can check it out here: https://www.saasco.com/tools/ai-utm-builder

How we built it

First off the project is full stack typescript which is basically essential for llms to do any amount of autonomous work. Secondly we have systems to make things full stack typesafe.

We use TRPC with Zod so everything is defined strictly.

We also set up the project with client, server and shared libs like:

libs/ ai-utm/ server/ client/ shared/

This helps AI know where to put each bit of code and how and when to use it. EG don't call a server function on the client and put all the zods/types in the shared folder.

Primatives

We had also previously set up the primitives this project would need - UI library with Input/Button etc (we use shadcn) - AI sdk configured for streaming ai responses (we use vercels ai sdk) - Cursor rule mdc files explaining how the above it set up

As a side not I think getting these primitives in place and documented for AI is a super power to moving fast and one shotting bigger features.

Prompt

The main tricky part for this was getting structured output from the LLM to stream into the inputs. (it's fast, but if you look it streams the response into the inputs)

We had solved this before so were able to reference that solution in our prompt, I think that helped sonnet figure it out in one go. But the prompt sonnet wrote looks like this for the fields:

Return the result in this exact XML format: <utm_parameters> <source>twitter</source> <medium>social</medium> <campaign>product_launch</campaign> <term>optional_keyword</term> <content>optional_creative</content> </utm_parameters>

Then it has some extraction and autoclosing of tags so even partial fields load.

So after writing one mega prompt, that included when to use each param, linking the reference/guide/doc files it started working. And after 7 mins we mostly have the page you see now!

I spent a little time cleaning improving the UX, but it mostly one shotted this

LMK if you have any questions!

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ID: 46053202Type: storyLast synced: 11/26/2025, 1:46:08 AM

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