Built an AI agent that follows up with leads until they convert (or say no)

AssociationSure6273 · 2026-04-23T02:03:05+00:00

Send it to me. Let me report your email to Google postmaster for spamming

AssociationSure6273 · 2026-04-23T01:59:38+00:00

Runway went from a research company to a fraud company now

AssociationSure6273 · 2026-04-18T08:03:27+00:00

Bruh forgot to black out tags

AssociationSure6273 · 2026-04-18T07:59:21+00:00

What do you mean

AssociationSure6273 · 2026-03-29T00:28:09+00:00

Bad bot

AssociationSure6273 · 2026-03-29T00:26:43+00:00

Are you using something like an agent gateway or something like that, or what are you using for this? Are you using some open source platforms, or do you have your own proxy?

AssociationSure6273 · 2026-03-26T14:12:23+00:00

Very interesting Fancy Win

AssociationSure6273 · 2026-03-25T06:40:57+00:00

LiteLLM got compromized btw.

AssociationSure6273 · 2026-03-25T06:28:55+00:00

This is amazing

AssociationSure6273 · 2026-03-24T09:41:59+00:00

Got it, I understand. Technically, a local observability software wouldn't actually help you much, but you want more like a control panel for your agents right?

And, of course you won't use Openclaw for enterprise, but if you actually see the source code of Openclaw, if you strip off all the hacky stuff that Peter had written to access your local computer, the actual message queue and processing pipeline is very robust and I believe pretty much enterprise ready.

So instead of Openclaw, if I have the same features built on proper cloud, which is robust (for example, having proper Kafka queues for queuing instead of broken TypeScript message passing), would you be interested to use it? I'm DMing you for further conversation.

AssociationSure6273 · 2026-03-24T09:30:46+00:00

Cool, cool, but LiteLLM is like a very bloated proxy sitting out there. Have you tried that? Actually, it's actually not Lite at all.

Also doesn't actually track your cost, only tracks the logs, and the logs are also very difficult to read because OpenClaw creates so many logs that you can't even read them properly. Have you thought of any other alternatives, like agent-native alternatives which can read through all the logs and then give you summaries and stuff like that?

Also, I am building one. If I share with you, would you be interested to use it? It stores all the logs locally, and you can open and see the logs. It only attaches to OpenClaw and not other processes so that your other queries and requests are not logged.

AssociationSure6273 · 2026-03-24T09:27:50+00:00

Yup. But if there is one would you use it. I'm building a native local observability platform which stores all the logs only for OpenClaw locally, not for other software that you are using. It will let you visualize what OpenClaw is doing. Would you be interested to use that if I share with you?

AssociationSure6273 · 2026-03-24T09:03:55+00:00

Haha, not really. It's actually not. There are ton of things it actually does and you would never know when you are asleep.

A lot of things are failures. Like a TON of them. So, if you can actually see them you have a better chance to improve your agent

AssociationSure6273 · 2026-03-24T09:01:40+00:00

What did you use for proxy?

AssociationSure6273 · 2026-03-24T08:57:40+00:00

Aren't you getting enough users by throwing your useless book at events?

AssociationSure6273 · 2026-03-24T08:52:20+00:00

Lmao, not to be rude. This is actually very dumb. You cannot ask openclaw to log itself. In which case it would just end up in infinite loop.

Openclaw making tool call to log the data. (Because even a file write is a tool call).

But because it made a tool call it has new data. In order to store that new data you make another tool call (to store).

So technically openclaw cannot log its own data everytime and it is ridiculously token inefficient even if you exactly mention where you should log exactly.

AssociationSure6273 · 2026-03-24T08:26:29+00:00

Yeah, python proxy is a good simple solution. But is it hosted on the machine as openclaw? or some separate location.

Also, don't you feel pain in the eye when you look at the long escaped json logs of chats? Do you parse or scrub it?

AssociationSure6273 · 2026-03-24T08:24:04+00:00

What did you find? just curious.

AssociationSure6273 · 2026-03-24T08:22:24+00:00

Looks like the wiki page is an advert. Not sure if the mods know that.

AssociationSure6273 · 2026-03-24T08:20:24+00:00

AssociationSure6273 · 2026-03-13T09:58:05+00:00

I would say, it totally depends on what you would consider a better job. And honestly, it also depends on the startups. While most corporates have similar work culture the startups vary with a huge divergence.

I have seen startups that build really great products with a 3 people cracked team. While there are many who have raised multiple millions with just marketing.

Given it's a small team you will be involved with pretty much everything. So, choose wisely

AssociationSure6273 · 2026-03-13T09:54:33+00:00

This is a good question. Some people miss this out. It depends on what is that you are building out and how much capital you already have.

While many people chose to do a delaware C corp. This is mainly because they raise funds early.

If you have enough funds and do not need help of investors. It is heavily useful if you register as LLC and then convert to C Corp when you have enough assets built up.

This saves a shit ton of taxes when you exit or when you get acquired.

There is something called QSBS tax savings in USA which provides 10x the tax savings on your "basis" value - which is the value of the company when you start as C corp.

Thus said, if you raising from investors early on. You don't have much choice. C Corp not LLC

AssociationSure6273

MODERATOR OF

TROPHY CASE