The right AI model for every engineering task

Wrought orchestrates specialized AI models through proven engineering pipelines — so you ship reliable software, not prompt experiments.

Used daily on production projects · Built with Wrought

How It Works

Three pipelines, one methodology

Incidents & Bug Fixes

From incident to verified fix — the right model at every stage

Finding
01

Finding

Fast

Triage the incident — classify severity, identify affected components, and assess initial impact.

Investigate
02

Investigate

Reasoning

Form hypotheses, trace execution paths, and narrow down the failure domain through structured analysis.

RCA & Fix
03

RCA & Fix

Deep Analysis

Root cause analysis and fix design — examine code paths, state transitions, and edge cases.

Implement
04

Implement

Code Gen

Apply the fix — produce correct, tested code with built-in verification loops.

Review
05

Review

Multi-Agent

Parallel review across correctness, security, performance, and architectural consistency.

Why Wrought

A better approach to AI engineering

The Problem

AI tools treat every task the same

  • One model handles architecture, debugging, testing, and reviews — badly at some, expensively at all
  • No methodology — just raw prompts with no structured engineering process
  • You're the orchestrator, manually switching between tools and context

The Solution

Wrought matches the right model to every engineering task

  • Multi-model orchestration — each pipeline stage uses the ideal model for the job
  • Structured methodology — reactive, proactive, and audit pipelines with proven engineering stages
  • Automated orchestration — Wrought manages the pipeline, you focus on the engineering decisions

Be first to experience Wrought

Join the waitlist for early access when we launch.