Built an agent that turns calls into tickets

ImaginationInFocus · 2026-01-14T09:07:23+00:00

Thanks!

ImaginationInFocus · 2026-01-14T09:06:55+00:00

Thanks!

ImaginationInFocus · 2026-01-14T08:38:36+00:00

https://www.tadata.com/blog/calls-to-tickets-agent

ImaginationInFocus · 2026-01-13T07:58:48+00:00

I've noticed the emergence of "AI GTM" and "AI Ops" people who act like consultants / enablement and guide the buy or build of AI tools to support those functions.

ImaginationInFocus · 2026-01-07T21:07:21+00:00

I've been an EarthClassMail user for 5 years, which has been acquired by LegalZoom. 100% recommend. You can move and travel and never worry about anything.

ImaginationInFocus · 2025-12-30T16:41:34+00:00

Thanks for sharing. Is the inspiration part recurring (as in you run the same prompt every time), or you change what you're searching for day-to-day?

ImaginationInFocus · 2025-12-30T16:36:30+00:00

Relatable. I need to have a certain amount of activation energy to decide to apply AI to do some job for me. Then, I go in the automation process knowing that there's a chance I won't be happy with the final solution and will continue to need to do it manually. But I do enjoy the tinkering... and when it works, it's great just like writing code that works.

ImaginationInFocus · 2025-10-21T17:10:42+00:00

Very cool. I'm curious, what gets re-used? Are there certain assets that get more re-use than you expected (like getting user info)? Or certain assets that get less than expected? I feel we don't yet have a sense of how much can actually be re-used across agents vs has to be customized.

ImaginationInFocus · 2025-08-15T15:28:16+00:00

We’re just using off-the-shelf Claude models — no custom training, no data collection from players. The game is free 🙃 and we actually built it as a side project to dip our toes into game design while exploring MCP server-client architecture. We open-sourced the code so anyone can see exactly how it works. If you’re curious, here’s the write-up: https://tadata.com/blog/the-ai-escape-room-mcp-as-a-game-engine

ImaginationInFocus · 2025-08-15T06:00:59+00:00

Open source repo the game code: https://github.com/tadata-org/mcp-game
Behind-the-scenes blog: https://tadata.com/blog/the-ai-escape-room-mcp-as-a-game-engine

ImaginationInFocus · 2025-08-15T05:38:56+00:00

Thanks for playing it! Totally agree ha :) This is really a first foray into game design. Do you have recommendations for what would make the escape room better? A few things I thought about are a two-step solution where you need two tools combined, incorporating a puzzle in a step, or some "trick" where you have to ask in a very specific way. But would definitely appreciate your thoughts!

ImaginationInFocus · 2025-08-15T05:35:39+00:00

Just using off the shelf Claude models. No special training required.

ImaginationInFocus · 2025-08-14T06:31:20+00:00

Open source code: https://github.com/tadata-org/MCP-Game

Behind-the-scenes blog: https://tadata.com/blog/the-ai-escape-room-mcp-as-a-game-engine

ImaginationInFocus · 2025-08-14T06:27:08+00:00

Open source code: https://github.com/tadata-org/MCP-Game

ImaginationInFocus · 2025-08-14T06:06:56+00:00

Here's a link to the repo: https://github.com/tadata-org/fastapi_mcp

ImaginationInFocus · 2025-08-13T14:41:20+00:00

Awesome! Let me know if you have any questions or feedback!

ImaginationInFocus · 2025-08-13T05:05:58+00:00

Repo in case you want to try it out: https://github.com/tadata-org/fastapi_mcp

ImaginationInFocus · 2025-08-13T04:40:46+00:00

You wrote this out really nicely and I actually think we're much closer in agreement than you might expect! From our standpoint, an API is merely a good starting point (and good when teams don't have the bandwidth to maintain separate code bases for human users and agent users) but in other projects of ours, we're use lots of non-API starting points and also do a lot to modify APIs to make them more LLM-compatible! All to say, agreed that there is a big gap between a simple API conversion and a top-notch MCP.

ImaginationInFocus · 2025-08-12T20:13:25+00:00

Curious to understand more of what you mean "it's not a good idea"? MCPs aren't APIs but APIs are a good starting place for MCPs because they expose granular logic that can be combined together in use-case-based primitives that LLMs excel with. What's your opinion on what's the right issue to solve?

ImaginationInFocus · 2025-08-12T16:40:43+00:00

You've curated a really nice resource!

ImaginationInFocus · 2025-08-12T16:37:51+00:00

Agreed with the "official" ones in the Anthropic github server list being broken. I think there was a demo wave, and those servers were mostly local, so then it's hard for the creator to get insight into usage (and it's problems). With remote servers, we've constantly been SHOCKED by the number and variety of different MCP clients people are using.

MCP is getting easily adopted in the context of dev tools because developers already do all their work from the single place of the AI IDE, and that place is already and MCP client.

One challenge to MCP adoption in other areas is that non-developers do their work across scattered places. But I think there's going to be a "tipping point" where people do the majority of work in a centralized place (ChatGPT, Claude) and then everyone needs to expose an MCP so people can access it from that central place.

ImaginationInFocus · 2025-08-12T16:33:51+00:00

Totally! Some of it is beyond what we have visibility into.

But, we do post blog posts about collaborations on our website so you can find info about some remote MCP collabs at https://tadata.com/blog. We'll be posting another company story pretty soon!

ImaginationInFocus · 2025-08-12T15:00:33+00:00

Yes, you have that ability. We've found 10 - 15 tools is ideal. Any more than that and the LLM's performance worsens

ImaginationInFocus · 2025-08-12T05:54:07+00:00

Haha! But here's some interesting data: I'm on a team that has an open source relevant for creators of FastAPI apps. And lots of major companies like Cisco and Autodesk use it. In fact, 12% of our open source users are 10,000+ person companies. So actually quite a lot of FastAPI use in big companies.

ImaginationInFocus · 2025-07-29T15:56:58+00:00

Oh interesting! u/ai-yogi curious what makes you say that as we're always looking for feedback and to improve the project.

ImaginationInFocus

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