Comparison Guide
Delvyn Studio vs Tessl
Delvyn Studio is the product intent layer for teams using Tessl: Delvyn generates product specifications from vision, OKRs, and discovery; Tessl governs the agent skills that help implement those specs. Engineers are always free; product leaders pay $9/month.
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.
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
Frequently asked questions
What is the difference between Delvyn Studio and Tessl?
Tessl is a skills governance layer for engineering teams — it sits between developers and their AI coding agents, managing, securing, versioning, and evaluating the skills those agents run. Delvyn Studio sits one level higher and earlier: it is a product operating model platform where product managers formalize vision, strategy, discovery, and OKRs into specifications a coding agent can execute. Tessl governs the skills engineers give their agents; Delvyn formalizes the product intent upstream of the code.
Is Tessl a competitor to Delvyn Studio?
No — they operate at different layers of the AI-native stack and for different users. Tessl serves engineering, platform, and security leaders who need control over the skills their coding agents run. Delvyn serves product managers and leaders who own what gets built and why. A team can run both: Delvyn produces the strategy-grounded spec; Tessl governs the agent skills that help implement it.
Can I use Delvyn Studio and Tessl together?
Yes. Delvyn Studio generates a product specification grounded in vision, strategy, discovery, and OKRs, and pushes it to GitHub or Linear. Engineers implement it with coding agents whose skills are managed, secured, and evaluated by Tessl. Delvyn supplies the strategic 'what and why'; Tessl governs the reusable 'how' the agents rely on.
When do I need Delvyn Studio instead of Tessl?
You need Delvyn when the problem is upstream of code — when product managers are accountable for strategy, when OKRs and discovery decide priorities, and when specs must be readable by stakeholders, not only executable by agents. Tessl solves a downstream problem: keeping the skills your coding agents run governed, secure, and measurable. Neither replaces the other.
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.