Levera — AI DSA Mentor

From brute force
to optimal.

Every approach, ranked — with complexity analysis, visual dry runs, and the pattern underneath.

01 — 06

What it does

Brute force, better, and optimal in a single response — each with its own complexity, so you can see what the trade-off actually costs.

Brute forceO(n²)
BetterO(n log n)
OptimalO(n)

How it works

Three steps
  1. 01You bring the problem

    Ask in plain language

    Paste a problem statement or just describe what you're stuck on. No format, no setup, no boilerplate.

    › sorted array — return the indices that sum to target
  2. 02Levera opens it up

    See every approach, ranked

    Brute force first, then what improves it, then the optimal — each with complexity, a dry run, and the reasoning that connects them.

    brute force → binary search → two pointers · O(n)
  3. 03You keep the pattern

    Recognize it next time

    The solution is the smaller half. What you leave with is the pattern underneath it and the problems it unlocks.

    pattern: two pointers · 12 related problems queued
Why Levera

The answer is the easy part. Knowing why it works is what you take into the room.

Levera is built around the reasoning rather than the output. Every response keeps the approach, the trade-off, and the pattern visible — because that is the part that survives past the problem in front of you.

Breadth

Every approach, not just the winner

You see the brute force next to the optimal, so the trade-off you're making is visible instead of assumed.

Transparency

The reasoning stays on the surface

Dry runs and complexity sit beside the code, not buried beneath it. Nothing is asserted without being shown.

Transfer

Patterns outlast problems

Each answer names the pattern it belongs to and links the problems that share it, so solving one earns you many.

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Questions
  • Yes. Hint mode starts with a nudge rather than a solution, and every dry run is shown step by step, so you can work up to the answer instead of reading it.

Still deciding? Bring one problem.

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