Why the best prompt is no prompt at all. How Elani uses vector embeddings and dynamic context construction to understand you without a 10-paragraph explanation.
If you've spent any time on "AI Twitter" or LinkedIn recently, you've likely been bombarded with advice on Prompt Engineering. "10 Secret Prompts to 10x Your Productivity." "The Ultimate Guide to Chain-of-Thought Prompting."
The implication is clear: if the AI isn't giving you what you want, it's your fault. You didn't explain it well enough. You didn't provide enough background. You didn't set the right persona.
At Elani, we believe this is backwards. The promise of AI is to reduce cognitive load, not to replace "doing the work" with "describing the work in excruciating detail."
We are moving from the era of Prompt Engineering to the era of Context Engineering.
When you ask a generic LLM to "draft a reply to John," it fails because it lacks context.
To get a good result, you have to type: "Draft a reply to John, my co-founder. We're close friends but I'm annoyed he missed the deadline. Keep it professional but firm. Reference the meeting from last Tuesday."
By the time you've typed that, you could have just written the email.
Elani solves this by treating Context as a first-class engineering challenge. We don't expect you to provide the context. We extract it, store it, and inject it automatically.
Instead of treating every interaction as a blank slate, Elani builds a persistent User Graph.
When you onboard, our OnboardingFacts classifier scans your recent history to extract durable facts:
We use Vector Embeddings to give Elani long-term memory. Every email, calendar invite, and document is converted into a mathematical vector and stored in a high-performance vector database.
When a new email comes in from "Sarah," Elani automatically retrieves the top relevant vectors. She sees that you last emailed Sarah three months ago about the Q4 marketing budget. She sees that Sarah usually replies late at night.
Before Elani even attempts to draft a reply or summarize a thread, she constructs a Dynamic Context Object. She pulls in:
Then, and only then, does she generate the prompt.
The goal of Context Engineering is to enable Zero-Shot Workflows.
You shouldn't have to prompt Elani. You should just wake up to find a draft waiting for you.
Your job shifts from "Writer" to "Editor." You verify, you approve, and you move on.
The future of productivity isn't a better chatbot. It's an agent that knows you so well, you barely have to speak to it at all.
We're building Elani to be the most context-aware software you've ever used. Because the most powerful productivity hack isn't a better prompt—it's a partner who already knows what you need.