Your interview. Your momentum.
You shouldn’t have to babysit your AI. Codeplusone sees your work, remembers what changed, and brings that context to what comes next.
Your screen changes. Session context follows.
Big ambitions. A little more in your corner.
Less managing. More momentum.
No scrolling through a wall of chat. Your approach, code, and edge cases each have a place—and update as your work evolves.
A workspace that adapts to the task, with the part you need one tap away.
Normalize each word with your existing helper. Keep only the first occurrence in a set, then return the count.
Solve, discuss, and show your workspace. A few keys. One less interruption.
Try a shortcut above · actual app bindings
A little privacy. A lot of focus.
A private space to think, alongside the work you share. Move anywhere across the panel to explore both views.
solution.py
def unique_words(words):
seen = set()
for word in words:
seen.add(normalize(word))
return len(seen)Reuse normalize() from helpers.py. Your previous work stays in context.
Illustration, not a guarantee. Screen-sharing behavior depends on macOS and capture settings. Review your sharing configuration before use.
Confidence should come with evidence.
Look past the promise. See what was tested, how it was tested, and where the limits are.
The follow-up came.
The context didn’t.
More time feeding the tool.
Less time solving the problem.
A perfect score.
No way to check it.
The codeplusone standard
Shortcut isolation with Chrome in the foreground.
Recorded activations, methodology, and visible limitations.
SHA-256 hashes let you check the published evidence package.
Evidence, with scope. The current public report covers shortcut isolation, not all product features. A file hash checks integrity; it is not proof that every result is correct.
Read the report and download the signed evidence package. Broader model and feature evaluations are not yet published here.
Open current verification page ↗Coding & system design
Claude Opus 5.5Live transcription
GPT-4o TranscribeInternal interview-focused rubric: approach · invariants · consistency · code quality · clarity, with quality checks. Model names reflect the current service configuration. Current public evidence covers shortcut isolation; broader evaluations are not yet published.
Made to think with you In development
Prefer a loop you can trace, or a recursive solution you can explain? Explore a preview of answers shaped around how you think.
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
Room for your next chapter
Explore first. Find the plan that fits your preparation.
Take a look around.
No commitment needed.
No payment method required
Explore for freeFor focused preparation,
one opportunity at a time.
Monthly plan · design preview
Choose BasicFor a full calendar
and a bigger next step.
Monthly plan · design preview
Choose PremiumPricing concept: monthly amounts reflect the current catalog. Names and 3-month options are proposed; final terms are not set.
A few things to know
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.
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.
The iterative and recursive switch is a design preview. User-defined solution style controls are in development.
Explore the interface and view up to five questions per day. The current free plan does not include AI solves.
Less re-explaining. More room to think.
Download for macOS