AI delivery that actually ships
Specifications in. Verified code out.
Built for engineering teams shipping production software with AI. You already pay for the models — Durante wraps them in a 9-phase delivery pipeline that ships tested, documented software. Not suggestions.
From issue to PR in 20 minutes
Trusted by builders who ship
Testimonials coming soon — we are collecting feedback from early users.
DuranteOS runtime
Product artifact
Workflow routing
trigger → skill → workflow → proof
Specialist execution
scoped agents, isolated roles, explicit outputs
No vendor lock-in — works with any provider
+ Cerebras, OpenRouter, Hugging Face, and any OpenAI-compatible endpoint
The problem
You write the spec. The AI ignores it.
The way most teams use AI is broken. AI tools generate code fast — but without a delivery pipeline, you still review every line, fix the hallucinations, write the tests, and pray it works. The problem isn't AI itself — it's using AI without verification, orchestration, or structure.
Developers pay $70-80/month across 4+ overlapping AI subscriptions, yet most don't trust unverified output. Without a delivery pipeline, AI-generated code churns 41% faster than human code. The tools generate — but don't test, deploy, document, or verify.
They feel stuck. They're paying more than ever for tools that promised leverage but delivered a new kind of busywork — reviewing AI output instead of writing code. The gap between what AI can do and how most teams use it creates an expensive treadmill.
A builder who pays for intelligence deserves to receive outcomes -- not suggestions they have to manually verify, fix, and ship themselves.
96% of developers don't trust unverified AI output
Sonar 2025
19% slower when AI tools lack a delivery pipeline
METR RCT 2025
41% faster code churn without structured verification
GitClear 2025
42% of AI subscriptions go unused without orchestration
Industry study 2025
How it usually works
How it feels now
You pay for AI and still do all the work yourself
Reviewing AI output has become your new full-time job
You've become an AI babysitter instead of an architect
Paying $80/month across four tools for a fancier to-do list
How Durante works
How it feels with Durante
You describe intent — shipped, tested software comes back
You review outcomes, not output — verification is built in
You're an architect with a delivery system, not a babysitter
Paying $30/month total for software that actually ships
We built Durante because we were in the same place. You already pay for the AI. You already have the models. And you're still doing all the work. The AI was supposed to give us leverage. Instead it gave us a fancier to-do list.
Without a delivery system, you stay trapped in the generation-verification loop -- AI writes code, you review it, find hallucinations, fix them, write tests, run CI, write docs. The tools multiply. The subscriptions stack. The output doesn't change.
What you can build
One platform. Dozens of workflows.
Each use case chains multiple skills into a single command. Here's what real sessions look like.
Skill chain
Generate a pitch deck
Research your market, craft your narrative, and produce investor-ready slides — all from a single prompt. Durante orchestrates 4 specialized skills to transform a company description into a complete investor package.
What gets delivered
Multi-agent market research with competitive analysis
StoryBrand narrative framework applied automatically
Investor-ready PPTX with data visualizations
See it run
Watch how Durante turns a spec into verified code
You describe what you need. Durante picks the right tools, builds the code, checks every requirement, and hands you working software.
specification
> Upgrade the signup page
> Keep scope inside apps/web
> Verify before claiming done
Evidence surface
Built for teams that need evidence, not vibes
The product already encodes enforcement: phased delivery, specialist execution, and reusable skills that compound over time.
Durante does not ask teams to trust a long prompt. It builds confidence through explicit phases, specialist routing, and outputs that can be checked before work advances.
01 signal
Deterministic delivery pipeline from observation through verification
02 signal
Specialists that run with isolated roles instead of blended prompt soup
03 signal
Contextual capability packs for research, engineering, design, security, and more
Ecosystem
Your skills. Your models. Your workflow.
40+ skills. Markdown-native. Bring everything you have already built with Claude, GPT, or any AI tool.
Research & Reasoning
Development
Design & Content
Security
Business
Automation
Skill anatomy
research/
├── quick.md
├── standard.md
└── deep.md ← step-by-step procedures
└── examples.md ← grounding examples
Import from Claude
Your custom instructions become SKILL.md. Same markdown, richer routing.
Import from GPTs
Your GPT configurations map to skills with workflows. No rebuild needed.
Publish and share
Open source. Push to GitHub. Community skills grow the ecosystem.
System behaviors
The product differentiates through behavior, not slogans
These are the operating surfaces that make Durante feel structurally different from generic AI coding tools.
Criteria enforcement
Requirements become explicit binary targets before implementation starts.
Workflow routing
The system chooses a workflow and keeps each phase aligned to it.
Specialist agents
Focused agents execute scoped work instead of one blended assistant improvising everything.
Persistent memory
Project facts, prior decisions, and delivery history survive across sessions.
Verification gates
Output only counts when the evidence says it passed.
Personal context
The system that remembers who you are
Most AI tools start from zero every session. Durante loads your mission, goals, beliefs, and active projects before you type a single word. The longer you use it, the better it gets.
Your persistent identity
~/.pi/agent/dos/user/TELOS/
19 files total
Context that compounds
Session 1: you explain your architecture preferences. Session 47: it already knows. No re-explaining, no re-prompting.
Wisdom that resurfaces
You add a book insight. Months later, the system surfaces that mental model when it is relevant to a decision.
Goals that evolve
Your priorities change. The system adjusts its recommendations, trade-off calculus, and delivery priorities accordingly.
Reports from your own data
Extract structured insights from interview notes into McKinsey-formatted reports. Your conversations become strategic assets.
The math
You already pay for the AI. Make it deliver.
Developers pay $70-80/month across four or more AI subscriptions — and 42% of those go unused. Start with Durante free on top of the AI you already trust, then upgrade to Pro when you need unlimited runs.
- Your existing AI subscription becomes a full delivery system — research, plan, code, test, verify, document, and ship in one pipeline.
- API-agnostic by design — bring Claude, GPT, Gemini, or any model. No vendor lock-in, no walled garden, no duplicate subscriptions.
- Every requirement is enforced by code, not by prompts. Binary pass/fail gates mean trust is built in — not hoped for.
How it compares
Cursor Pro ($20+/mo) — Code generation in an IDE. No testing, no deployment, no docs.
GitHub Copilot ($10-39/mo) — Autocomplete and basic suggestions. No pipeline, no verification.
Devin ($20/mo beta) — Autonomous agent with 13.86% bug-fix rate. Sandbox-locked.
Bolt / Lovable / v0 ($20-50/mo) — Prototype apps. Break on anything beyond demos.
Durante (free to start, Pro $39/mo) — Full 9-phase delivery pipeline. Research, plan, code, test, verify, document, ship. API-agnostic. Works with YOUR subscriptions.
Before
Without Durante: $70-80/month across 4+ AI subscriptions. 42% goes unused. You do all the verification work yourself.
After
With Durante: keep one AI subscription + add Durante (free to start, Pro at $39/mo). One pipeline that actually ships.
Cut the tool sprawl. Keep one AI sub, add Durante, and get a pipeline that ships — starting free.
Bring your own AI. Claude, GPT, Gemini, or any model you already pay for. No vendor lock-in. No walled garden. Durante is the delivery layer — your AI is the engine.
Common objections, answered
Is this lock-in?
No. Durante is open source and model-agnostic, so your delivery standards remain yours rather than being trapped inside one vendor workflow.
Will setup be heavy?
You can start with one focused workflow and expand over time. The product is designed to let teams adopt deterministic enforcement incrementally.
How do I trust output quality?
Outputs are checked against explicit pass/fail criteria before progressing, which reduces speculative output and makes quality review far more concrete.
FAQ
What is Durante?
How is Durante different from other AI coding tools?
Is Durante open source?
What are Skills in Durante?
What are Agents in Durante?
What is TELOS?
Start your first deterministic run
From AI babysitter to architect with a delivery system.
Plug Durante into your repo with the AI subscription you already pay for. Describe your intent. Get shipped software back. The pipeline handles the rest.