Skippr AI

About Skippr AI

Skippr AI embeds live AI agents - called "Buddies" - directly into software products. These agents see, talk, and operate the product through built-in browser automation, handling onboarding, activation, and user support. It launched with self-serve setup, 10 switchable languages for real-time voice, and a learning loop that updates from every session.

Review

Skippr AI treats its agents as employees rather than chatbots. Each agent keeps agenda and memory across a full session, acts on screen by clicking and navigating the UI, and trains on a company's knowledge base, call transcripts, and its own visual experience inside the app. The platform ships with 200 free credits, no card required, and a startup package starting at $149.

Key Features

• Real-time voice agents with vision and browser automation - they click, navigate, and complete multi-step tasks on screen
• Agenda and memory that persist across full sessions, so context doesn't reset mid-conversation
• 10 languages with real-time switching (the agent follows the user's language lead mid-session) plus 50 languages in mono mode
• Configurable guardrails per workspace: disable actions entirely, require user approval of plans, or set guide-only mode for destructive flows
• Self-serve setup - embed with two lines of code or share a meeting link, with optional knowledge base and transcript uploads

Pricing and Value

New users get 200 free credits with no card required. The startup package starts at $149. For higher volume or enterprise deployments, pricing is not publicly listed - users contact the sales team directly. Enterprise includes human-in-the-loop capabilities, deeper workflow pre-scanning and mapping, and custom guardrail configuration. Exact pricing beyond the startup tier is not yet defined.

Pros

• Agents act on the UI - clicking, navigating, and completing tasks - rather than only pointing or narrating
• The learning loop updates from every session, so an edge case encountered once gets covered for all future users
• No scripting or flow rebuilds required when knowledge gaps close; the agent incorporates new information automatically
• Users watch the agent's actions on their own screen with a Stop button available at all times
• Works out of the box with no mandatory training, while still accepting custom knowledge bases and transcripts for accuracy

Cons

• Complex workflows, API actions, and custom guardrails are restricted to enterprise - self-serve users cannot access these deeper configuration levers
• Autonomy is deliberately limited in high-stakes areas; destructive flows stay guide-only or approval-gated, which means full hands-off operation isn't available across every app zone
• Small teams or solo makers with infrequent support volume may find the $149 startup package exceeds what they'd spend on a simpler chat widget for occasional use

Skippr AI fits teams running frequent onboarding, demos, or product support who want an agent that acts inside the UI rather than sitting in a chat sidebar. The self-serve tier handles common use cases - onboarding, product help, demos - without deep setup, while enterprise unlocks the tooling for complex workflows and human-in-the-loop oversight. It's less suited for products where a static knowledge base or FAQ widget already answers the majority of user questions.

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