Comparison Guide

Delvyn Studio vs Tessl

Tessl governs the skills your coding agents run — the downstream “how.” Delvyn formalizes the product intent upstream — the vision, strategy, discovery, and OKRs that decide what should be built at all.

Two layers, two users

Tessl is a strong control plane for the skills engineering teams give their agents. Here's where each tool belongs.

Tessl is the right tool when…

  • Engineering owns the AI coding agent rollout
  • You need a governed registry of reusable agent skills
  • Security wants scanning, policy gating, and audit logs on skills
  • Skill sprawl and duplicate versions are a real cost
  • You need evals to prove a skill actually improves agent output
  • The problem is downstream — inside the developer's agent workflow

You need Delvyn when…

  • Product managers are accountable for what gets built
  • OKRs and discovery decide priorities, not the agent session
  • Specs must carry vision, guardrails, and success criteria
  • Stakeholders need to read and approve intent before code starts
  • You want strategy connected to specs, not re-typed into a prompt
  • The problem is upstream — deciding the right thing to build

The core difference

Tessl governs the skills your coding agents run — securing, versioning, and evaluating the reusable context engineers hand their agents. Delvyn formalizes the product intent those agents are meant to serve — vision, strategy, discovery, and OKRs, turned into a spec before anything reaches the IDE. Tessl makes the agent's toolbox trustworthy. Delvyn makes sure it is building the right thing.

Feature
Delvyn Studio
Tessl
Product Vision & Strategy
OKR Management
Product Discovery (Teresa Torres)
Spec Grounded in OKRs + Vision
AI Spec Coach
Stakeholder-Readable Specs
Agent Skill Registry & Reuse
Skill Security Scanning & Policy
Skill Evals & Performance Visibility
Skill Versioning & Governance
MCP Server
GitHub Integration
Primary User
Product managers & leaders
Engineering, platform & security leaders
Layer in the Stack
Product intent, before the IDE
Agent skills, inside the dev workflow
Pricing Model
Per leader ($9), engineers free
Free registry tier, enterprise plans

How they work together

Delvyn decides and specifies what to build. Tessl governs the agent skills that help build it. Strategy stays intact from intent to implementation.

1. Think

Define vision, validate through discovery, set OKR success criteria in Delvyn

2. Specify

Generate an agent spec with full strategic context from Delvyn

3. Push

Spec lands in GitHub or Linear with acceptance criteria attached

4. Implement

Engineers build it with coding agents whose skills Tessl governs and secures

Formalize intent where it starts — with the product team

Start free and generate your first product specification. Give your coding agents — and the skills that power them — the strategic context they can't reconstruct on their own.