Compare AI tools

	Ask YouTube A	Cursor S	Cursor TypeScript SDK A	Skye A
Tagline	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.	VS Code fork that made AI coding actually work.	Wire Cursor's full coding-agent runtime into your own apps, scripts, and CI/CD pipelines with a few lines of TypeScript.	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	Research	Coding	Dev Platform	Agents
Pricing	Included with YouTube Premium ($13.99/mo); expanding to some free users	Free + $20/mo Pro + $40/mo Business	Token-based; requires Cursor plan (Pro from $20/mo). Composer 2 at $0.50/$2.50 per M tokens (in/out); fast variant $1.50/$7.50 per M tokens.	Waitlist / Beta (pricing not yet disclosed)
Best for	YouTube heavy users who want to discover content through conversation rather than keyword guessing, especially for learning, research, or planning-style queries.	Developers. Non-developers who want to ship working code.	Engineering teams who already use Cursor and want to embed its coding-agent runtime into CI/CD pipelines, backend services, or internal developer tools without building agent infrastructure from scratch.	iPhone power users who are frustrated that Siri is still reactive and want their home screen to actually anticipate their day.
Strengths	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	Tab completion feels like mind-reading Composer for multi-file edits Runs Claude, GPT, Gemini — you pick	Same runtime as the Cursor IDE — no reinventing sandboxing, context management, or model routing Three execution modes: local machine, Cursor cloud VMs (isolated per-agent), or self-hosted workers for air-gapped teams Cloud agents are durable — keep running even if your laptop sleeps or connection drops, and can open PRs automatically on finish Full harness included: codebase indexing, MCP servers, skills, hooks, and multi-agent delegation via subagents Visible in Cursor's Agents Window — programmatic runs can be inspected or taken over manually in the IDE	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	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	Can feel overwhelming for non-coders Expensive at scale	TypeScript-only SDK — no official Python or other language bindings at launch Public beta status means API surface and pricing can shift without much notice (Cursor has a track record of surprise pricing changes) Cloud VM costs layer on top of subscription credits, making cost estimation non-trivial at scale	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	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.)	S-tier for coding. If you write code of any kind, this pays back the $20 in a day.	If your team is already in the Cursor ecosystem, this is a genuinely compelling way to turn ad-hoc AI coding sessions into durable, automated workflows — but the beta label and Cursor's history with opaque pricing mean you'll want to set hard budget guardrails before going to production. (Verdict pending Phi's full review.)	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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