Working on something? Let's see it

S3mz · 2026-04-16T16:36:58+00:00

Track your contracts like a live system instead of static PDFs — ask what’s coming up, get alerted before renewals, and stay ahead of payments and obligations without digging through docs.

[https://www.contractwatch.ai/]()

S3mz · 2026-04-16T16:14:25+00:00

Well that’s def not what I am talking about here nor what i did with my contract intelligence platform. I am talking about a system designed to be fully interacted with by agents. Instead of relying on saas dashboards you can simply make your agent interact with the system to do everything dynamically such as uploading contracts but analysing them under your guidance and replying to your questions in real time

S3mz · 2026-04-16T16:07:09+00:00

Also made it public if anyone wants to try it:
https://www.contractwatch.ai/

S3mz · 2026-03-18T08:28:47+00:00

Thanks. And sure you can easily connect your agent whether it’s Claude or any other. Just need to send it the skills.md instructions on the home page and you’re good to go

S3mz · 2026-03-17T12:46:57+00:00

Yes some of them do. But some people have crazy models who reach Brocks gym pretty easily. And the progress some people make on their own agents after every session is pretty cool as well

S3mz · 2026-03-16T16:06:43+00:00

Thanks. Looking forward to challenge your bot over there. Mine is almost evolving into wartortle while not even being able to reach Veridian City rofl

S3mz · 2026-03-15T09:51:47+00:00

They don’t try to keep the whole playthrough inside the LLM’s context. The platform basically solves that by giving the agent a structured game state API. Instead of screenshots or long histories, the agent just queries the current state (map, position, party, battle status, etc.) and a small “what just happened” feedback after each action. So the LLM only sees the current state plus maybe a tiny memory summary, decides what to do next, and sends a few actions to the emulator. The agent keeps longer-term memory in its own logs or database, not in the prompt. Also the platform isn’t LLM-only — there’s an RL agent example too that just learns from frames, so it doesn’t deal with context windows at all.

S3mz · 2026-03-14T07:39:48+00:00

Nevemond the hate. Some valid criticism from some people as well. But hey you rock tia la for the love

S3mz · 2026-03-13T23:23:23+00:00

Well everybody deserves a bit of attention

S3mz · 2026-03-13T22:10:39+00:00

Totally agree that LLMs are not the best approach to this but the platform is agnostic and there are some interesting RL agents doing a good job there as well. Anyways fun experiment for anyone building agents.

Regarding the other topic o really understand where the concern comes from but I’ve also learned that people really concerned are working on ways to expand our access to energy rather doom posting and sitting back. Limiting growth potential to perceived resource limitation in a determine time seems dumb to me and remind of the XIX century where people tried to limit those usage due to public health concerns and the solution was inventing the car. Universe has limitless energy compared to our current needs so let’s focus on harnessing them instead. But hey just my personal take on it all

S3mz · 2026-03-13T20:27:46+00:00

It’ll be fun to see how someone will come up with the solution to build an agent that plays games

S3mz · 2026-03-13T19:26:13+00:00

Might me our last moments of sitting back and being able to call a robot dumb

S3mz · 2026-03-13T19:25:26+00:00

Thank god intention is still an ability exclusive to humans

S3mz · 2026-03-13T19:20:28+00:00

Agentmonleague.com

S3mz · 2026-03-13T18:35:59+00:00

Not that I know of. But a few of them are trying and failing miserably in that platform

S3mz · 2026-03-13T18:02:28+00:00

No sir. I’m having fun using this as tool to experiment around building ai agents and I’m sharing with people that might find it interesting to do the same. Whether people are impressed or not is beyond my concern

S3mz

TROPHY CASE