A New Way
AI is here. Let's find the right place for it.
It started with a chatbot
First wave: open a chatbot, paste a message, ask. The answer was decent because the context was tight. Forgot a thread? Paste a bit more. Job done.
Until it wasn't. Time burned copying. Context missing without you knowing it was missing. Threads from different topics jammed into a single conversation, leaving the LLM confused. Tied to whichever provider you opened that morning. No timeline either: ask "who said this first" from pasted snippets and watch the LLM guess at dates. Nothing portable, nothing reusable.
Then came the firehose
Second wave: connectors. Plug Gmail, Slack, Drive into a chatbot and let it dig. Sounds tidier than copy-paste. It isn't.
The model now searches a haystack to find a needle. Tokens burn. Irrelevant context creeps in, accuracy drops. Every connector is a privacy hole. Entire inboxes cross the wire so the model can answer a single question. And you're still locked to one provider, watching it read things you never meant to share.
Lock-in is coming for your context
Third wave is quieter. The model builds a profile of you over time. Your preferences, your voice, what you mean by "short reply." A hidden context kept server-side, sharpening with every chat.
That makes the model better. It also makes it sticky. Switch provider and you start from scratch. Your work, your patterns, your tone, gone. The handcuff isn't pricing anymore. It's memory.
How Blabble breaks it
Blabble takes a different turn at every fork. Narrow data, not a firehose: the LLM sees only the slice you point it at. Fewer tokens, less leakage, transparency about what just got read. Tight context produces better answers because the model isn't guessing through ten thousand messages.
Your user-agent context, projects, rules, preferences, tone, lives in Blabble, not on someone else's server. Switch from Claude to GPT to a local model mid-flow and everything carries over. No context lock-in. No provider lock-in. No pricing handcuffs. The tool stays. Your context stays. AI gets put back where it belongs: a tool you steer, not a service that steers you.