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#1 most trusted real-time Ai interview copilot

Your next big opportunity.An AI that keeps up.

You shouldn’t have to babysit your AI. ByteSprite sees your work, remembers what changed, and brings that context to what comes next.

Download for macOS
Persistent context Adaptive workspace Privacy controls
It keeps up as you work.35-SECOND PRODUCT DEMO
Interview workspaceCODING
pydisputes.pypyloans.pypytests.py100%
disputes.pyVisible 1–14Python
0:00 / 0:35Reading the workspace

Your screen changes. Session context follows.

Big ambitions. A little more in your corner.

GoogleamazonMicrosoftairbnbMetaNETFLIXstripe
Prepare for your next chapter.
“The generative AI answers aren't helpful for my job interviews. It feels scammy because it's so expensive even for one time use”
LauraGB · 22 reviews
“Instead of providing responses based closely on my uploaded material, I found the output to be generic and not suitable for my intended use.”
Final Round AI
KaiGB · 3 reviews

Do not fall for this service

“Final Round AI advertises a low monthly rate $25/month, but the moment you check out, they bill your card upfront for a full annual subscription $300+ instead of charging month-to-month.”
CluelyCommentary excerpt
“Latency is worse than advertised: 300ms claim vs 5–10 seconds”
Interview CoderCommentary excerpt
“The official website does not disclose which AI model is used, nor does it mention any refund policy for either payment option.”
“I requested a refund within 48 hours because the product was defective. They denied my request claiming 'substantial usage' because I spent time trying to troubleshoot their broken tool.”
“I also tried cancelling and having a refund yet the CS team does not respond right away.”
“After requesting a refund, I was instructed by support to change settings and run additional test sessions to troubleshoot the issue. I followed those instructions in good faith.”

Stop overpaying for LLM chat wrappers disguised as stealth interview copilotsYour career deserves better

For the work behind the answer

Put your attention
back on the problem

ByteSprite remembers the work, gathers the context and gives you answers you can discuss

01 Context across files

New file
Same context

We retain the code and requirements

The bug may be here. Its cause may be in the caller you opened five minutes ago. ByteSprite retains the files you've shown, code edits and relevant requirements within your session, so changing files doesn't erase the investigation.

Debug an unfamiliar repository or build with AI across files. Your next question can pick up the earlier decision, connect it to the current code and move the work forward.

Your next answer starts with the work you’ve already done

The interview moves across files“Why does the status go backwards?”

A single screenshot

disputes.py on screen
def recent_status(events):
    newest = events[-1]
    return newest["kind"]
Only what fits in this frame

The provider’s ordering rule?
In the file you just left

ByteSprite Session context

provider.pyEarlier file · retainedEvents may arrive out of order
disputes.pyCurrent code · retainednewest = events[-1]
tests.pyObserved test · retainedLatest timestamp must win
The connection that mattersLast to arrive ≠ latest event

The fix follows the contract from the earlier file.

Illustrated debugging session · retained context includes work you’ve shared that is now off screen

02 Less operating, more thinking

We collect the context
You call the solve

Continuous collection, one global shortcut

Once you enable observation and discussion, we continuously follow the files you view, your edits and the conversation. You can stop juggling screenshot capture, recording controls and repeated explanations.

Ready for an answer? Press Command-Return, our global shortcut. When the next part arrives, press it again. You decide when to ask; we bring the accumulated context.

You’re paying for help, not another process to manage

When you have to operate every step

Capture screen→Record→Pause→Add context

New file. New follow-up. Do it all again.

ByteSprite Once observation + discussion are enabled

Files you view
Code you edit
The discussion
Context gathers as you work
When you’re readyOne shortcut
Your next answer
⌘↵
Next part of the problem?Same shortcut. Context comes with you.
Illustrated workflow · you control observation and decide when to request a solve

03 Clarity under pressure

Skip the chat wall
Keep your place

Approach, code and tests have their places

Searching a long reply costs attention while someone waits. We give the approach, implementation, time and space complexity, suggested tests and edge cases predictable places in every answer.

Go straight to the detail being discussed, then return to the implementation without losing your place. The format lets you follow the reasoning and keep the conversation moving.

Spend the moment explaining, not searching

The interviewer asks“Walk me through this part of the code”

Unstructured reply

Start by loading the word list and caching it so repeated calls do not fetch the same remote resource. The loader returns the words, and the cache reuses that result on later calls.

For decryption, the possible answers come from the supplied word list. Instead of trying to invert an ambiguous mapping, encrypt each candidate word and compare the result with the ciphertext.

plaintexts = set()
for word in load_word_list():
  word = word.strip()
  if encrypt(key, word) == ciphertext:
    plaintexts.add(word)

Use a set because more than one word can produce the same ciphertext. Every character must be present in the key for a candidate to match. Strip the line ending from each word before checking it.

Then return the accumulated set. The cache belongs on the loader, while the candidate loop belongs in decrypt. The equality check connects the candidate’s forward encryption with the input ciphertext.

Read the explanation.
Find the code it belongs to.

ByteSprite

Actual product view
ByteSprite implementation view showing Python code with numbered highlighted ranges and an explanation card attached to the decrypt-by-forward-matching step
The explanation, right where it belongsNumbered steps. Highlighted code. Reasoning in place.View full-size screenshot
Left: an illustrative chat reply · Right: an unedited ByteSprite product screenshot

04 Reasoning you can examine

Get code with reasons
And names behind the models

Understand the choice, the cost and the model

“Use a hashmap” leaves the engineering decision unfinished. We provide readable code and explain choices such as spending extra memory to avoid repeated searches, alongside constraints, complexity, edge cases and suggested tests you can run.

We also display configured model names, including Claude Opus 5.5 for coding and system design. A name alone doesn't establish correctness; the reasoning gives you something to examine and explain. Every paid tier gets the same quality bar.

See the models behind ByteSprite

An answer without the why

“Sort the events. Return the last one.”

Why sort everything when you only need one event?

ByteSprite The decision behind the code

We need the latest event,
not a sorted history

ApproachTimeExtra space
Sort a copyO(n log n)O(n)
Scan once ChosenO(n)O(1)

Same answer. One pass. No extra collection.

newest = max(events,
    key=lambda event: event["at"])
return newest["kind"]
Assumption: at least one eventDiscuss: empty input + tied timestamps
Model, disclosedClaude Opus 5.5Same coding model across paid tiers
Illustrated trade-off and suggested checks · not a test execution report

Your work stays with you
Your attention stays on the interview

Bring ByteSprite into your next interview session. Keep the context close, the answer organized and your attention on the work.

Get started with ByteSprite

Illustrations compare specific workflows, not every competing product. Capabilities vary by app.

Observe

Capture runs only while you have it on. Each frame is evidence: the text, code, and diagrams on your screen.

Reconstruct state

Frames update one evolving problem state. Overlapping views reconcile, files and versions are tracked, and uncertain regions are marked rather than invented.

Structured workspace

One model call turns that state into a workspace for the active round. Sections update in place, so nothing important scrolls away.

From code to architecture

Make the system
easy to explain

See the architecture, follow an individual flow, and keep the implementation details within reach

Trace a flow through the system

From the debit worker to the notification provider, follow the path you need to explain

ByteSprite payment-system architecture with the payment-notification flow highlighted through the debit worker, event stream, notification worker, and notification provider
Actual product view · Payment notification selectedExplore the full screenshot

Keep your hands in the flow.

Solve, discuss, and show your workspace. A few keys. One less interruption.

⌘command
↵return

Try a shortcut above · actual app bindings

A little privacy. A lot of peace of mind.

Your workspace. Your view.

One desktop, two perspectives. Move across the screen to reveal the covered app.

Covered viewYour Mac

Move left or right at the height of the screen · On touch, drag · With a keyboard, use arrow keys

Illustrated privacy preview. Actual screen-sharing behavior depends on your macOS and capture settings.

Models that don’t meet our standard
don’t make the cut for all tiers

We want to make this blatantly clear - a 300 ms faster live suggestion is not what's going to make or break your interview, especially more so if the answer lacks depth, showcase of understanding, or straight-up wrong. If that's what you seek, this product is not fit for you.

A holistic top-down solution that covers guarantees, invariants, factors edge cases into design, trade-offs, presented in a structured manner that's both easily digestible and navigable to the candidate under pressure is what separates the best from the rest.

We're not here to make false claims that our transcription process generates an answer in "under 124 ms" (cough PhantomCodeAI) because "fast enough that the answer forming before the question lands" isn't even worth bragging about - just points out how terrible they are as engineers. And relying on that methodology is exactly how you will fail even the easiest of entry level interviews.

Nine out of ten isn’t good enough. Across 1,000 interviews, that leaves 100 people facing a potentially life-changing setback. We rigorously test our harness and every model against a 99.9%+ accuracy target on internal benchmarks, built from our team’s combined interviewing experience at Microsoft, Google, LinkedIn, Uber, and Amazon.

Coding

Claude Opus 5.5

Systems Design

Claude Opus 5.5

Voice Transcription

GPT-4o Transcribe

Live Assistance

Claude Haiku

Made to think like you In development

Customize solutions to your preferences
Code how you’re comfortable.

Choose your language and the approach that feels natural. A loop you can trace or recursion you can explain—make the answer your own.

An explicit stack. Every step in sight.
max_depth.pyPython
def max_depth(root):
    stack = [(root, 1)]
    depth = 0
    while stack:
        node, level = stack.pop()
        if node:
            depth = max(depth, level)
            stack += [(node.left, level + 1),
                      (node.right, level + 1)]
    return depth
O(n) time · O(h) spaceSame solution. Your style.

Your next chapter awaits

Choose your pace, keep the same quality bar

Explore first. Find the plan that fits your preparation.

Free

$0

No Solve Tokens · No payment required

1 Coding and 1 Systems Design copilot session results demo included

  • Preview AI Interview copilot demos
  • Buy token packs for standalone solves
  • 1 Question Bank unlock per account
Explore for free

Light

Most Popular

$100.00 / month

100 Solve Tokens every month

  • Access to AI Interview copilot
  • 20+ verified stealth features tested daily
  • Limited Question Bank Access (5 questions/week)
  • Coding + system-design assistance
  • Use across unlimited sessions

When you upgrade, your existing unexpired Solve Tokens stay in your balance and the upgrade allocation is added. Original expiration dates still apply.

Secure checkout. Cancel anytime.

Choose Light 1 Month

Pro

Best Value

$180.00 / month

250 Solve Tokens every month

  • Access to AI Interview copilot
  • 20+ verified stealth features tested daily
  • Unlimited Question Bank Access
  • Coding + system-design assistance
  • Use across unlimited sessions

When you upgrade, your existing unexpired Solve Tokens stay in your balance and the upgrade allocation is added. Original expiration dates still apply.

Secure checkout. Cancel anytime.

Choose Pro 1 Month

Question Bank (1 Month Access)

Bank access

$20.00 / month

Question Bank access only

  • Unlimited Question Bank Access
  • Company-specific interview questions
  • No interview copilot access
  • No Solve Tokens

Secure checkout. Cancel anytime.

Choose Question Bank (1 Month Access)

FAQ

Frequently asked questions

A few things to know about ByteSprite,
based on the questions we get the most.

Does it remember work that leaves my screen?

The session retains previously observed context as you change files and continue through follow-ups. The demo illustrates memory within one session, not unlimited memory across future sessions.

Am I in control of screen capture?

You start and stop observation. Selected evidence for a solve is sent to the model provider. See the product’s privacy and verification pages for current behavior and tested configurations.

Is solution customization available now?

The iterative and recursive switch is a design preview. User-defined solution style controls are in development.

What’s included in the free plan?

Explore the interface with one Question Bank unlock per account, plus one Coding and one Systems Design copilot session results demo. The free plan does not include live AI solves.

Walk in prepared.
Answer with confidence.

  • Start for free
  • No credit card required
  • Upgrade when you’re ready
Get started — it’s free