AI.com Launches Autonomous AI Agents: What We Know (and What to Watch)

AI.com Launches Autonomous AI Agents: What We Know (and What to Watch)

A new consumer-facing AI agent platform is about to enter the mainstream conversation: AI.com.

According to multiple reports, Crypto.com co-founder and CEO Kris Marszalek is launching AI.com as a platform where consumers can generate personal, permission-based AI agents that execute tasks across apps.

This is a big claim in a crowded market. The details matter.

What AI.com says it will do

Based on reporting and the company’s launch materials, AI.com positions its agents as capable of completing tasks such as:

• •organizing work
• •sending messages
• •executing actions across apps
• •building projects
• •automating workflows

Some reports also cite more consumer-style tasks (like updating a dating profile) and even finance-adjacent actions (like trading stocks). Treat these as intended capabilities, not guaranteed outcomes—real-world reliability and permissions will decide what’s actually usable.

Launch timing and distribution

AI.com’s launch is being treated like a mainstream consumer event:

• •A reported launch date around Feb. 8, 2026
• •Marketing tied to a Super Bowl commercial

This matters because distribution is usually the hardest part for agent products. If the platform can convert mainstream attention into retention, it becomes a real category player.

Pricing: free to start, subscriptions for more capacity

Reports indicate users can start for free, with paid subscription tiers for enhanced capabilities and higher token limits.

That’s consistent with the wider agent market:

• •free tier for onboarding
• •subscription for heavier usage
• •upsell for premium capabilities

The core promise: agents that improve and share upgrades

One of the bolder claims in reporting is that as agents gain new capabilities, those improvements could be shared across a network, making all agents more useful over time.

In practice, this raises the real CTO questions:

• •How are “improvements” verified and safety-tested?
• •Are upgrades shared as models, workflows, tools, or prompts?
• •What happens when a shared “improvement” is malicious or buggy?

Network effects can be powerful—but they also concentrate risk.

What to watch (the only things that really matter)

If you’re deciding whether AI.com is hype or durable product, these are the checks:

1) Permission model

• •Is the agent truly permission-based per app and per action?
• •Can you restrict what it can read vs write vs execute?

2) Reliability

• •Does it succeed at multi-step tasks consistently, or does it stall and hallucinate?

3) Auditability

• •Can you see what the agent did, why it did it, and undo it?

4) Security posture

• •Where do credentials live?
• •How are tokens stored?
• •Is there isolation between agents and users?

5) Clear “killer workflow”

• •What is the one thing it does better than ChatGPT-style assistants?

Where this fits in the agent landscape

The agent market is splitting into two camps:

• •Local-first / self-hosted agents (maximum control, more setup)
• •Consumer agent platforms (easy onboarding, trust the vendor)

AI.com is clearly aiming at the consumer camp.

If you want the “work while you sleep” outcome with maximum control, the pattern we recommend is:

• •run automation locally
• •schedule background jobs
• •keep build/commit guardrails
• •keep an audit trail

Sources

• •PYMNTS (Feb 6, 2026): https://www.pymnts.com/artificial-intelligence-2/2026/crypto-com-ceo-launches-platform-to-mainstream-personal-ai-agents/
• •Gizmodo (Feb 2026): https://gizmodo.com/crypto-com-founder-buys-ai-com-in-largest-domain-purchase-in-history-2000719136

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If you want, I can also add an AI.com tool listing to the tools directory once the product is live and we can verify the official feature set and pricing.