Storm

We automate your CRM & Insert 24/7 AI Agents into your business so you can stop turning away leads & allow your employees to do the work you pay them for.

[Storm @stormOCS]

If you're using / thinking of using OpenClaw/Hermes/Custom agent for your business or operations, this Article was written for you

- key things to consider before starting
- past mistakes current founders are making
- how to prevent future issues coming back to bite you

[Storm @stormOCS]

https://t.co/grNAGEZizX

[Storm @stormOCS]

@GuilhermeWrites need to see the results of this

[Storm @stormOCS]

@amirmxt @landforce pure marketing to the masses tool to not scare them off

[Storm @stormOCS]

@EnriTarta magic

[Storm @stormOCS]

Incredible for an open source model, audio is basically solved now

[Aoden Teo @AodenTeoMT]

Today, we’re excited to introduce Miso One, the most emotive voice model in the world.

Miso One is an 8-billion-parameter text-to-speech model for highly expressive speech generation. It emotes like a human and responds faster than a human, with just 110 milliseconds of latency.

We’ve open-sourced the model weights, with API access coming soon.

Hear how Miso One sounds in the thread below.

[Storm @stormOCS]

@jacob_posel easy fix a lot of people miss: you're meant to wait for God to part it first before stepping in

[Storm @stormOCS]

@michael_chomsky welcome to the dark (light) side 😈

[Storm @stormOCS]

@kunley_drukpa going to have to hire a balancing team in the gov to release patch notes every month. already see some of these needing nerfs asap

[Storm @stormOCS]

@tech_nurgaliyev depends on a few things, will DM

[Storm @stormOCS]

@tech_nurgaliyev (channeling this)

[Storm @stormOCS]

@tech_nurgaliyev unsexy automations are the highest ROI automations

you can improve this though, take a look at this

[Storm @stormOCS]

@iamtyfrankel brother is seal-maxxing 🙏🙏🙏

[Storm @stormOCS]

Moving into the new office tomorrow

With Gods grace I will retire my family within these 4 walls 🙏

[Storm @stormOCS]

@ItsMeBenChan streamer money not what it used to be it seems

[Storm @stormOCS]

yeah zuck i'm not sure how this image generated variation will help my ad to be honest mate

[Storm @stormOCS]

@itspairaw not a big guarantee if im only averaging 20 views a post 🫣

[Storm @stormOCS]

@GuilhermeWrites as someone whos come from 10 years in the creative industry this legitimately hurts my soul every time I have to make my funnel/pages look like ass

[Storm @stormOCS]

@_devott interesting, so you're grabbing all the potential policies and simulating the resulting impact it'd have on the company?

[Storm @stormOCS]

I bet you've ran into this incredibly obvious, logical, but unconsidered issue when implementing AI to one part of your workflow: the bottleneck just moves one step down the chain immediately

this happens every single time. it's obvious when you say it out loud but a lot don't even consider it. you relieve the tightest constraint and throughput rises until it slams into whatever was the second-tightest thing. that thing is now your number one problem, and if you didn't see it coming it feels like the AI "didn't work" even though it did exactly what it should have

real example : content was their number one constraint for years. everything backed up behind writing

they recently wired a Claude project into the content process and that step stopped being the problem almost overnight. really great result

except immediately an 'unexpected' bottleneck: the build step. they were now producing content faster than the people building the pages around it could keep up. the queue simply relocated to the desk one step downstream

so when you're planning an AI build, it's very important to map the whole chain first. where does work enter, where does it sit, where does it leave, and what caps throughput once you clear the obvious one. you want to know the second and third bottleneck before you remove the first, because you'll meet them faster than you think

you also may find you can merge multiple "manual" steps into one AI step and solve 2-4 bottlenecks in one sweep with an automation/agent

the teams that get value from AI treat it as a capacity problem across the whole pipeline

try and avoid the trap of these single fixes that can end up becoming 10 different claude projects you have to manage

[Storm @stormOCS]

@survotreson @ryanvogel I know, but still my point stands, whats the benefit of opencode to justify it even if it's not their fault