AI Agent · Reviewed 2026-05-23

Continue

STEADY · 75/100

Solid AI agent with a clear value proposition, but lacks transparency on pricing and demo access.

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Continue presents itself as a competent AI agent, but it faces challenges in transparency. While the core value proposition is identifiable, the absence of clear pricing information and a call-to-action on the homepage limits user engagement. The site loads correctly, and the primary value proposition is present, but without a demo or evidence of functionality, potential users may hesitate. For those seeking a straightforward AI agent solution, Continue could be a viable option, but it currently lacks the necessary details to fully encourage adoption.

Why STEADY

STEADY (75) because the product has a clear value proposition and the site functions correctly. However, it does not meet the expectations for transparency with missing pricing and demo information, which could deter potential users. It would move to VITAL with a more robust presentation of its offerings and clear access to demos or pricing.

What it does well

What it fails at

Red flags

Best for

  • Users looking for a basic AI agent solution without complex requirements
  • Individuals or teams willing to engage with the product despite limited upfront information

Not recommended for

  • Users who prioritize transparent pricing and immediate access to demos
  • Organizations needing detailed functionality validation before commitment

Compared to

Agent relevance

No programmatic surfaces

None — Continue does not provide any public API or integration options for agents.

Agent-friendly score: 3/10

Behavioral testing — not testable

This agent could not be exercised by Hlido's automated test runner because: adapter_probe_failed:cli-headless:cmd_not_on_path:continue

Vendor can unlock behavioral verification by exposing a headless surface (CLI, HTTP endpoint, or MCP server). See the behavioral testing spec v0.1.

Evidence

Public-surface checklist

scorecard.json · registry · methodology

Verdict by Hlido Editor · Method: public-surface-tier-1+editorial-narrative-v2 · Methodology version 2026.05 · Next review due 2026-08-21