Yohei Profile picture
Oct 4, 2022 21 tweets 8 min read Read on X
I built a No Code AI tool… w no code!

After building a few apps on top of #gpt3, realized I was missing toolsets, so built it myself.

It’s called Geppetto.

Here’s how it works 📖
ICYMI, GPT-3 is a powerful AI tool where you provide it text, and it spits back text (poetry, code, etc).

It’s quite magical, but takes a bit to learn. Sometimes getting that initial text takes time. And if you get it right, you want to save the input text (called prompts).
Here’s an earlier deep dive I did into the space:
An example of what you can build on top of this tech is this a Due Diligence tool, where you feed it a startup description and get various risks back (technical, legal, market, etc).
Another example is a US Politics App, where you get a conservative and liberal response to any questions.
One last example for now is building a Life Advisory Board of celebrities, historical figures, and fictional characters.

Ask a question and get responses from Gandhi, Socrates, Kanye West, or whoever else you choose.
All three above examples are apps built on top of Geppetto (built on top of #gpt3).

Only takes about 10 minutes to build an app, let’s do a quick walk through 🧐
First, build an app by choosing a name.

That’s it. You can add a description later.
Each “App” has one input form, and can be tied to multiple prompts, which are combined with the form input before being sent to OpenAI’s #gpt3

The US politics example from above has two “Prompts” attached to it.
Creating a Prompt (w template)

Easiest way to create prompts is with prewritten templates!

For example, if you want to add a Famous Person to your app, just choose the template and type in a name.
And that’s it!

Once you’ve built your app, you can ask questions, or feed it text to translate/expand/summarize.
Jump to the Manage App page to see the prompts that you’ve added to an app.
Click on a prompt to see the raw text behind the template.

This is a great way for beginners to learn from the template’s we’ve set up.
Tap on the pencil icon to edit.

Our prompts aren’t perfect, surely you can improve on them! This adds infinite customizability to your apps.
Advanced users can create Raw Prompts without our templates.

Simply include a variable where the user input goes. You can run any prompt here that you could run on OpenAI.
Another way I use Geppetto is to improve my prompts through testing multiple simultaneously.

In this example, I’m testing multiple versions of the “Famous Person” prompts# to see which result I like best.

I then used the best one and turned it into a template.
Btw, this works fully on mobile!

So yes, I can now go from an AI app idea to prototype in 10 minutes on my phone.
Another thing I’m excited about is letting people download csv files of past prompts and responses.

This is a helpful feature for people who are running tons of prompts, and need to track the ones that work best - or maybe use them for further tuning.
Why did I build this? Because:

1) It’s awesome. I use these tools to support my work and portfolio companies.
2) It’s fun. Not going to lie about that.
3) To meet people!
I’m slowly letting people try out Geppetto. Sign up for the waitlist here!

geppetto.me
Probably the funnest part about this is that I built this all with No Code.

Stack is @airtable @softr_io @zapier @OpenAI, a lil JS, and #dalle for logo.

• • •

Missing some Tweet in this thread? You can try to force a refresh
 

Keep Current with Yohei

Yohei Profile picture

Stay in touch and get notified when new unrolls are available from this author!

Read all threads

This Thread may be Removed Anytime!

PDF

Twitter may remove this content at anytime! Save it as PDF for later use!

Try unrolling a thread yourself!

how to unroll video
  1. Follow @ThreadReaderApp to mention us!

  2. From a Twitter thread mention us with a keyword "unroll"
@threadreaderapp unroll

Practice here first or read more on our help page!

More from @yoheinakajima

May 2
here friends, i open-sourced it: prettygraph



at 201 lines of code (69 in back, 132 in front), it's just a quick hack i did for myself to test this UIgithub.com/yoheinakajima/…
if you're interested in a web app, you can try out (which doesn't have highlights, but has more robust knowledge graph building).

the repo for instagraph is here: instagraph.ai
github.com/yoheinakajima/…
instagraph let's you combine graphs manually but if you're interested in automatically merging graphs, check out my more recent project: mindgraph

github.com/yoheinakajima/…
Read 5 tweets
May 1
look at this pretty little text-to-knowledge graph ui Image
Image
no confusion here Image
Read 7 tweets
Apr 19
great to see everyone at AI rabbithole event today!

as promised, here's my deck with abbreviated narrative.

(video was recorded, will share when available) Image
agents agents agents!

40+ agent related github projects today with 500+ stars, 90% of which are less than a year old. Image
where are we going? robots and virtual agents.

biggest difference is that robots are constrained in physical space, and virtual agents can run tasks in parallel and be in multiple "places" Image
Read 30 tweets
Apr 9
fascinating! the left and right images are built with the same agent log data (last 100 logs).

- left: each log is a unique node
- right: bundled edges/nodes by the function type of the log

result on right let's me easily see most used paths and functions.
Image
Image
Refactored the code and you can visually see the changes by comparing the two graphs!
Image
Image
made it so i can click on a function and see the recent log details of that specific function Image
Read 5 tweets
Apr 7
version 1 of auto-generate graph of actions taken by the agent

system_chat_handler_advanced is our chat interface endpoint, which used load_skill_description to find and pick the find_similar_files skill to find a relevant skills, which used the generate_embeddings skill to embed the input. then used generate_text_completion to generate the responseImage
filtered out the common functions used by the front-end so it shows me the logs that are most relevant to check Image
ooh breadthfirst makes more sense here Image
Read 8 tweets
Apr 4
Been talking lots about knowledge graphs and LLMs, specifically for autonomous agents, recently.

Organized some thought here if you want to dig in 👇

KG 🤝 LLM

🧵 (a thread)
For those not familiar, knowledge graphs are a type of data representation in the form of nodes (objects) and edges (relationships) and looks like this. Image
This structure allows for unique querying of relationship related data such as finding shortest path between two nodes, or further more complex reasoning. Image
Read 13 tweets

Did Thread Reader help you today?

Support us! We are indie developers!


This site is made by just two indie developers on a laptop doing marketing, support and development! Read more about the story.

Become a Premium Member ($3/month or $30/year) and get exclusive features!

Become Premium

Don't want to be a Premium member but still want to support us?

Make a small donation by buying us coffee ($5) or help with server cost ($10)

Donate via Paypal

Or Donate anonymously using crypto!

Ethereum

0xfe58350B80634f60Fa6Dc149a72b4DFbc17D341E copy

Bitcoin

3ATGMxNzCUFzxpMCHL5sWSt4DVtS8UqXpi copy

Thank you for your support!

Follow Us!

:(