What if your AI agent worked inside your CRM, ERP, or IoT system, not next to it?
๐ APIs, middleware, and cloud make it possible.
๐ฅ Training + change management make it sustainable.
AI wins when it speaks the same language as your CRM, ERP, and IoT.
We explain how in our blog ๐ https://t.co/F5MWAIHlSj
#AI #chatbot #DigitalTransformation
Most AI coding agents just start blasting spaghetti code the second you hit enter. Itโs a mess.
We've been testing the Superpowers framework. It forces your agent to stop, agree on a spec, write failing tests, and *then* code. Pure subagent-driven TDD.
If you're building with Claude Code or Cursor, you really need to try this out.
Repo: https://t.co/ggNvhoJTlO
Most founders are completely ignoring the EU AI Act. That's a huge mistake.
Shadow AI is already causing 13% of corporate data breaches. Your team is pasting sensitive company data into random LLMs right now.
Stop pretending it isn't happening. Build proper internal agents or get ready for some brutal compliance fines next year. ๐
Everyone is obsessing over new AI models, but the real B2B ROI is in AI agents.
We are moving past "chatbots that answer questions" to "agents that execute workflows." If your AI can't update a CRM, qualify a lead, or trigger an invoice, you are leaving money on the table.
Stop chatting. Start automating. โก๏ธ
6/6
We are implementing these exact robust systems into our internal agents at https://t.co/v45IDYky9I so our orchestrators always have perfect, relevant context.
Are you building custom AI agents? Let me know how you handle long-term memory in the replies! ๐๐ค
1/6
"Unlimited memory" for AI agents is a myth. ๐ง
Dumping everything into a vector database (pure RAG) completely fails in production. Agents start confusing old data with new and act like they've been lobotomized.
So how do you build real AI memory? ๐๐งต
5/6
And the NOOP operation is the most underrated feature! Not every conversation deserves to be remembered. If you feed every "hello" into your RAG, your agent will eventually drown in noise.
Strategic forgetting and memory decay are the real keys to scaling. ๐๏ธ
I just saw a post from a frustrated customer saying:
"So grossed out at companies adopting human-like AI customer service & not being able to resolve basic issues without being forced to train these robots in real time." ๐คฎ๐ค
This is exactly why we stopped building basic 'chatbots' at https://t.co/ExonTZLOui. ๐
An AI agent shouldn't just repeat FAQ scripts until the customer gives up. It should autonomously execute tasks (like processing a refund or checking an order in your CRM). โก
If your AI can't take action, it's just a glorified widget. ๐๏ธ
Microsoft and Oracleโs new AI Agent releases just changed the game.
The definition of a "chatbot" has officially evolved in 2026.
At https://t.co/ExonTZLOui, we saw this shift coming a year ago. The days of basic, frustrating FAQ widgets are over.
Enterprise clients donโt just want an AI that talks. They need an AI workforce that executes.
What the next generation of conversational AI actually looks like:
โช๏ธ Voicebots handling unlimited simultaneous customer calls
โช๏ธ AI Agents connected directly to your enterprise CRM
โช๏ธ Systems that autonomously process orders and update databases
While the industry is just waking up to "Agentic AI," we are already integrating these complex, multi-step workflows into our clients' backend systems.
The future of customer operations isn't just generative text. It's autonomous action.
AI news is moving fast โก
Model benchmarks keep climbing, but support teams still win on one thing: reliable handoff.
The companies getting real ROI in 2026 do this:
๐ค automate repeat questions
๐ง route ambiguity to humans
๐ track CSAT after every handoff
Smarter workflow beats bigger hype.
Anyone else noticed GPT-5 starts thinking even when you donโt need it to? ๐ฉ
You ask for one sentence and it goes full philosopher mode ๐งโโ๏ธ
Bro I just wanted a caption not a TED Talk ๐
Claude 4.5 Haiku is insane at writing ๐ง ๐ฅ
Clean text fast replies perfect tone every time
It sounds more human than half of LinkedIn ๐
If GPT-5o had a creative twin itโd be Haiku
All potential LLM drops in the next 3 to 4 months ๐คฏ
ChatGPT 5.1
ChatGPT 5 Deep Think ๐ง
Claude 4.6 Sonnet
Claude 4.5 Opus
Gemini 3 Flash โก
Gemini 3 Pro
Grok 5
Grok 4.2
๐ค Meet NEO from 1X. The first humanoid robot made for your home not just a lab
It walks talks sees listens and even folds laundry ๐ณ
Runs on real AI vision speech and memory
Weighs around 30 kg and can lift more than twice its weight
And itโs already available for preorder for about 20 000 USD
Basically a mix between a cleaner assistant and roommate that never complains
But the real question is ๐
Will it actually work in real homes or is it just another flashy demo ๐คทโโ๏ธ
What do you think would you let NEO live with you?