A Mac-native, bring-your-own-model writing assistant available in any app
Advisor score
Documented editorial evaluation
The decision
Kerlig earns a shortlist for Mac power users who value native shortcuts and provider choice more than a managed subscription. It is a weaker fit for mixed-device teams or people who do not want to manage API keys, local models, permissions, and variable token costs.
Best for
Mac users writing across many applications; Bring-your-own-model buyers.
Choose something else if
Windows, Linux, or mobile-first workflows; Teams wanting fully managed AI billing
Evidence
Editorial research pending · 8.0/10
Pricing checked
From $49 · 2026-08-26
Free access is available, with limits.
No permanent free plan was documented; Kerlig offers a downloadable trial and a 14-day money-back guarantee. Verify the current trial boundary.
Kerlig offers selection-based writing, document chat, local models, and hundreds of model choices for a one-time license, but buyers must budget separate tokens and understand macOS permissions and provider data paths.
Kerlig earns a shortlist for Mac power users who value native shortcuts and provider choice more than a managed subscription. It is a weaker fit for mixed-device teams or people who do not want to manage API keys, local models, permissions, and variable token costs.
Use a trial on 50 real but non-sensitive writing tasks: email replies, proofreading, Jira tickets, translations, summaries, and document questions. Compare edit acceptance, meaning changes, shortcut friction, token spend, local-model quality, permission scope, history deletion, and total time against your current assistant.
Personal Recommendation
Kerlig earns a shortlist for Mac power users who value native shortcuts and provider choice more than a managed subscription. It is a weaker fit for mixed-device teams or people who do not want to manage API keys, local models, permissions, and variable token costs.
Try the recommendation
Native selection-and-shortcut workflow
Overall Score
Editorial Review Framework
Overall Score
8.0
Ease of Use
8.2
AI Quality
8.0
Features
8.2
Speed
8.0
Integrations
7.8
Value for Money
8.0
Customer Support
7.6
Learning Curve
7.8
Recommended Because…
Native selection-and-shortcut workflow
Scores use a 0-10 editorial scale: 9–10 exceptional, 8–8.9 strong, 7–7.9 capable with material tradeoffs, 6–6.9 limited fit, and below 6 not recommended. Scores publish only when a documented evaluation supports them.
Reusable trial worksheet
Turn this review’s buyer test into evidence. Your entries autosave only in this browser and are never added to shared shortlist links.
Confirm the tool meets every must-have workflow and stakeholder requirement.
Review starting point: Mac users writing across many applications; Bring-your-own-model buyers; People preferring a one-time desktop license
Run the same representative work you would use in production; do not score a polished demo.
Review starting point: Complete three to five representative tasks with known acceptable outcomes and compare them with your current process.
Calculate the effective cost per accepted result, including usage, review, corrections, and required add-ons.
Review starting point: Kerlig displays Basic at $49 once for one Mac, Pro at $79 once for two Macs, and Team at $297 once for ten seats. The displayed deal language and included update period can change. Hosted model tokens are separate; local Apple Foundation Models, Ollama, or LM Studio can avoid provider token charges. Reviewed August 26, 2026.
Define an acceptance threshold, test known answers and edge cases, and record every correction.
Review starting point: Editorial quality signals: features 4.1/5; AI quality 4.0/5. Validate these signals in your own work.
Verify what data enters the product, who can access it, how long it is retained, and whether it trains models.
Review starting point: Use approved low-risk data first. Check roles, consent, deletion, subprocessors, model-training settings, and the contract—not only the marketing page.
Test the real handoffs, permissions, failure states, and export path your team depends on.
Review starting point: OpenAI, Anthropic, Google, OpenRouter, Ollama, LM Studio
Record training, governance, reliability, accessibility, ownership, and change-management risks before rollout.
Review starting point: Mac-only; Model usage costs are separate; Privacy depends partly on selected providers
Loading saved worksheet… · private to this device or your optional account
Evaluation
Research-based
Price posture
From $49/month
Reviewed
2026-08-26
No authentic product screenshot is published for this review. DiscoverAI does not use generated interface images as product evidence.
Editorial freshness
Pricing and material product claims were checked August 26, 2026.
Community evidence
Structured, editor-moderated experience—not star ratings. This complements our independent review and never changes its score.
No approved community evidence yet. Be the first verified user to contribute.
Kerlig currently displays one-time prices of $49 for Basic, $79 for Pro, and $297 for a ten-seat Team license. Model tokens may cost extra.
Kerlig supports your own provider API keys and local models. Hosted provider usage is billed separately under those providers' terms.
No. Kerlig is presented as a native macOS application supporting Apple Silicon and Intel Macs on macOS 12 or later.
Kerlig says messages are sent directly to selected AI providers and stored encrypted on the Mac. Verify app permissions and each provider's current privacy terms.
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