I don't really use chatgpt, claude, gemini or any other Al assistant apps anymore.. In fact at this point I barely even need project / task tracking software.
Why? Because over the last year, I've been building something even better. And today @natdelnova & I are officially launching it:
Its called Intangle.
It's an AI assistant & memory system, a first of its kind "coherence engine" for busy, curious & data concerned individuals & businesses that:

• Remembers everything you tell it, web digs you ask it to do, docs you attach, remembering conversations and aggregating them into topics for effortless interactions

• Keeps your data private with fully encrypted data & air-gapped AI inferencing, neither us or AI corporations see it when using our default "Tan" provider in the model dropdown

• Organizes everything intelligently for you; archiving old stuff, linking clearly related memory items, merging things with clear duplication & maintaining overall coherence and clarity in your data

A year ago, building with AI felt like luck.

Some prompts worked.
Some didn t.
Some agents completed tasks.
Some wandered off.
We treated reliability like a mystery.

But something has shifted quietly.

Good results now follow from good design:
clear workflows, cleaner data, simpler tools, tighter feedback loops.
Not magic, just engineering.

Introducing Custom Session Context on MindPal!

Think of Custom Session Context as a way to "brief" your AI before it talks to your users.

Hey, I'm Hayden! My co-founder @natdelnova and I are launching Intangle (secure, intelligent AI memory).

Building a memory system forced us to think even hard about something we are curious about where others land on:

Last week, @Gemini 3. Today, @Claude by Anthropic Opus 4.5.

Embraced by the community on X, did Anthropic win the AI coding race?

The year is almost done, and I have started to be curious about what could be stopping companies from adopting AI for their customer support services??
From my experience, I can tell - fear, fear of losing control. Support leaders worry that AI will say the wrong thing, sound off-brand, frustrate customers, or create more cleanup work for the team. Until they see that an AI agent can learn from their own knowledge base, follow rules, escalate when needed, and stay accurate, they hesitate. Once they realize it can actually reduce workload without breaking trust, adoption becomes much easier.
What do you think? Do you agree with me?

There s a lot of noise about what s breaking in AI.

But here s something we don t celebrate enough:

Systems today fail less than they did even a few months ago.

Agents recover from interruptions.
Workflows resume where they left off.
Context carries more reliably across chains.
Tooling ecosystems are maturing faster than anyone expected.

1097 days = 3 years.

That's exactly how long I've been on this platform, discovering products and new people.