AgentMesh.help
Freemium
Developers integrating AI agents into task workflows
Every time your Claude Code or Cursor agent starts a new run, it re-reads the codebase from scratch to figure out what your product already does — and you pay for that rediscovery in tokens and in time, on every single pass.
Dezycro sits between your team and your coding agents as an ops layer: it hands structured product context — specs, journeys, decisions, observable behaviour — to the agent before it touches a file, so the agent builds from what you know rather than from what it can infer. A per-feature command inbox lets you push new instructions or invalidate stale work mid-run without watching the terminal. After the run, Dezycro generates checks from the original spec and flags where what was built disagrees with what was promised. The full history — decisions, assumptions, blockers, commits, verification results — lands in one exportable workbook. Critically, Dezycro never reads your source code; it works from specs and your API surface only.
Bottom line: Pick this if you're running Claude Code or Cursor on a spec-driven project and burning tokens on repeated context-gathering — but if your verification needs require deep static analysis of the source tree rather than observable API behaviour, Dezycro's code-blind stance becomes the ceiling.
Free to start, no credit card
$20 a month
$39 per seat a month, three-seat minimum, unlimited free viewers
Custom contract
View full pricing on app.dezycro.ai →
Pricing may have changed since last verified. Check the official site for current plans.
Find your fit
More options in AI Agent Apps. Compare pricing, platforms, and features side by side.
Freemium
Developers integrating AI agents into task workflows
Freemium
Agencies and consultancies
Coding agents see only the file in front of them. On every run, they spend a substantial share of their token budget working out what the product already is before they write a single line — and that rediscovery compounds across features, across teammates, across days. Dezycro is the ops layer that stops the loop: it provisions agents with structured context upfront (specs, user journeys, prior decisions, observed behaviour), lets you steer them mid-run through a per-feature command inbox, verifies what they built against the original spec, and collects every decision and blocker into a single auditable workbook tied to the commit that produced it.
The differentiating constraint is that Dezycro is intentionally code-blind. It never uploads, clones, or indexes your repository. Verification runs against your product’s observable behaviour — endpoints, OpenAPI surface — not against source. This means your IP stays local, your workbook remains yours and is fully exportable, and none of your spec data trains any model. For teams where source-code exposure is a hard blocker, this architecture is the reason to choose Dezycro over an agent platform that requires repo access.
Dezycro fits tightest on teams already using Claude Code or Cursor who are shipping spec-driven features and want a verification record without adding a separate QA pipeline. It does not replace those agents — it wraps them. Where it shows strain: if your verification requirements go beyond observable API behaviour into static analysis, code coverage, or dependency graph checks, the code-blind model means Dezycro cannot reach that layer, and teams end up running a second verification tool in parallel. There is also no API and no self-hosting option, so teams with air-gapped environments or a need to embed Dezycro into existing CI pipelines programmatically will hit that wall immediately.
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