Future AGI vs Grammarly

Generate personas, scenarios and synthetic datasets to stress-test text and voice agents across many conversation branches before launch.

Combine always-free heuristic metrics, code evaluators and LLM-as-judge scoring, including agentic evaluators that localise errors in RAG and tool calls.

Route traffic across 15+ LLM providers with load balancing, failover and caching, plus 15 built-in rule-based guardrails and ML content moderation.

End-to-end traces, sessions, agent graphs, custom dashboards and alert monitors give real-time visibility into production behaviour.

Works natively inside Chrome, Safari, Firefox, Edge, Windows, Mac, Google Docs, MS Office, and mobile keyboards to flag grammar mistakes, rewrite tangled sentences, and shift tone toward confident, empathetic, or executive registers.

Deploys contextual AI agents that predict how a target audience will react to a draft, locate credible supporting citations, grade essays against rubric criteria, and generate drafts using up to 2,000 monthly prompts on Pro.

Scans text against billions of web pages and academic databases for accidental plagiarism, detects AI-generated passages, and logs transparent document provenance via Authorship reports in Google Docs and Word.

Enables teams on Pro and Enterprise plans to codify company terminology, ban deprecated jargon, enforce inclusive language, insert shared Snippets, and surface internal company definitions inline.