Memory
Give your AI a memory of your product
Generic chat forgets everything between sessions. An AI that remembers your product — its users, its stack, its decisions — gives sharper answers and stops contradicting itself.
The cost of a blank slate
Every generic chat session starts from nothing. You re-explain your product, your users, your stack, your constraints — and even then, the model has no memory of the decision you made last week, so it happily suggests the opposite.
Advice from something with amnesia is shallow by construction. It can't build on what came before because, for it, nothing came before.
A profile that every workflow reads
Cadenly keeps a memory of your product — what it is, who it's for, the goals, the stack, the key entities — and injects it into every workflow, so you never re-describe it. It drafts that profile from your own work rather than making you fill a form, and you correct anything it got wrong.
It also keeps a log of the decisions you've made, and every workflow is told not to contradict them: if new work conflicts with a settled decision, it flags the conflict instead of quietly reversing it.
Memory compounds
A profile anyone could copy isn't the point — the point is that it's YOUR product's memory, growing as you use it. The deeper you go, the more it knows, and the sharper every workflow gets. That's the difference between a tool you re-teach daily and one that already knows your product.
- Generic chat forgets between sessions, so its advice stays shallow.
- A product profile injected into every workflow ends the re-explaining.
- A decision log stops the AI contradicting choices you already made.
Give your AI a memory
Cadenly remembers your product and grounds every workflow in it — sharper the more you use it.
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