Prelint vs Screencap: Features, Pricing & Which Is Better (2026)

A side-by-side comparison of Prelint and Screencap — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.

Prelint

Paid

AI reviewer that checks every pull request against your ADRs, docs and past decisions to catch product drift before it ships.

Context-Aware Review: Reviews each PR against your ADRs, product docs and past decisions instead of only linting style or syntax.
Product Drift Detection: Flags conflicts, gaps and drift between the PR's intent and your product context inline in the diff.
Agent Self-Correction: The Prelint agent can self-correct against detected violations before a human reviewer opens the PR.
GitHub & GitLab Integration: Runs on both major hosted git platforms with native PR/MR integration.
Isolated Infrastructure: Every organization runs on isolated per-organization infrastructure and Prelint does not train on customer code.
Usage-Based Pricing: $1 per completed review with $10 in free credits, no seats or subscription.

AI-Written PR Triage: A team using coding agents like Copilot or Claude Code lets Prelint gate agent PRs against product intent before humans look.
Architecture Enforcement: A platform team encodes architecture decisions in ADRs and uses Prelint to catch PRs that violate them.
Onboarding Safety Net: A new engineer's early PRs get reviewed against product context they haven't fully internalized yet.
Open Source Maintenance: A maintainer of a public repo enables Prelint (free for OSS) to review incoming contributions for product fit.
Cost-Controlled Review: A startup wants automated review without paying per developer seat and pays $1 per PR instead.

Proteus Computer Use

Freemium

Local-first macOS screen recorder that captures, labels, and indexes team workflows so knowledge stays searchable and private.

Local-First Capture: Recordings live in ~/.screencap on your Mac and never leave unless you explicitly share them.
On-Device Task Segmentation: An on-device model breaks long recordings into labeled tasks like payroll runs, expense approvals, or CRM data entry.
Full-Text Search of Workflows: Every spoken word and on-screen moment is indexed so any past workflow can be surfaced months later by search.
Privacy-Enforced Recording: Password managers and banking apps are cut before a frame is written; email and chat are masked in real time.
MCP Context Snapshots: While recording, Screencap queries connected MCP servers to capture the exact Gusto/Attio/Linear/Notion record on screen inside the video.
Deliberate Sharing With PII Scrubbing: Every shared copy is scrubbed of names, secrets, and PII, and only the recordings you pick ever leave the machine.
Source-Available Codebase: The full capture engine, encryption, agent, and anonymizer are public on GitHub under PolyForm Noncommercial 1.0.0.

Team Onboarding: Assemble ordered collections of real workflow recordings so new teammates learn exactly how work is actually done.
Institutional Knowledge Capture: Preserve the tacit steps behind payroll runs, reconciliations, and quarterly reports as searchable video.
Ops Documentation: Replace stale wikis by pointing teammates at labeled task recordings that stay current with the real system.
Compliance-Sensitive Recording: Capture back-office work in banking, finance, and HR without leaking passwords, account balances, or PII.
Computer-Use Dataset Contribution: Optionally donate reviewed, scrubbed recordings to a public dataset for training open computer-use models.