Compare AI tools

	DeepSeek S	Ask YouTube A	GitHub Copilot B	Skye A
Tagline	Chinese open-weight powerhouse. Crazy cheap, genuinely smart.	YouTube's Gemini-powered conversational search lets you ask natural language questions and get answers drawn from videos, Shorts, and the web — without ever leaving the platform.	Microsoft/GitHub's autocomplete. Deep VS Code + JetBrains integration.	An agentic iPhone home screen that replaces your static icon grid with AI widgets that proactively surface health, calendar, finance, and local context — without you having to open a single app.
Category	Chatbots	Research	Coding	Agents
Pricing	Free web + ultra-cheap API (~$0.14/M input tokens)	Included with YouTube Premium ($13.99/mo); expanding to some free users	Free (limited) + $10/mo Pro + $19/mo Business	Waitlist / Beta (pricing not yet disclosed)
Best for	Developers + cost-conscious builders. Anyone fine with self-hosting.	YouTube heavy users who want to discover content through conversation rather than keyword guessing, especially for learning, research, or planning-style queries.	Teams with GitHub already. Devs who don't want to change IDEs.	iPhone power users who are frustrated that Siri is still reactive and want their home screen to actually anticipate their day.
Strengths	Open weights you can self-host Strong reasoning + math Near-free API pricing DeepSeek-V3 / R1 are serious models	Searches across long-form videos, Shorts, and text in a single conversational query Draws on real-time data from both YouTube content and the broader web Deeply integrated into YouTube's existing search bar — zero context-switching required Supports follow-up/refinement questions within the same session Powered by Google Gemini, the same LLM backbone as Google's AI Mode in Search	Great enterprise story Works in your existing IDE Chat + autocomplete	Ambient, proactive intelligence delivered via native iOS widgets — no app-switching required Cross-domain context: health, calendar, email, finances, and local recommendations in one layer Works within iOS permission model (no jailbreak or sideloading), making App Store approval plausible Strong pre-launch signal: 25k+ waitlist and backing from a16z, True Ventures, and SV Angel
Weaknesses	Data goes to servers in China — privacy concerns for business use Chinese policy filters English polish trails Western models	Still a limited test — US Premium subscribers only, with no firm global timeline Raises real creator-traffic concerns: AI answers may reduce clicks to actual videos No standalone value — entirely dependent on having a YouTube Premium subscription	Less agentic than Cursor/Claude Code Model quality varies	Still pre-launch / beta — zero proven track record and no public pricing yet iPhone-only by design, which immediately locks out half the smartphone market Battery drain and privacy concerns from constant ambient context scanning are real and unresolved
Kai's verdict	S-tier for price/performance. A-tier for consumer use. If you build apps, this is the budget pick.	A genuinely interesting evolution of video search that could make YouTube feel more like a knowledge engine, but it's still early-stage, US-locked, and paywalled behind Premium — watch this space rather than rerouting your workflow around it yet. (Verdict pending Phi's full review.)	B-tier. Solid for autocomplete but the category moved past it. Pick Cursor unless you can't.	The concept is genuinely compelling — turning the home screen into a living AI layer is a smarter bet than yet another chat interface — but this is vaporware until it ships publicly and we see whether Apple's sandbox lets it breathe. (Verdict pending Phi's full review.)
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