Verified Gallery
Verified Claude Builds Gallery
Real builds are more useful than generic prompts. This gallery collects projects with a named builder, a named Claude surface, public source, credible evidence, and a reusable pattern.
Key Facts
Page summary for citation
- Verified Gallery: Real builds are more useful than generic prompts. This gallery collects projects with a named builder, a named Claude surface, public source, credible evidence, and a reusable pattern.
- Evidence trail: 10 sources, including Anthropic, Anthropic Docs, Anthropic Docs.
- Internal context: related pages include Zettair, Spotify, Venus Map.
"Claude Code is an active collaborator"
What qualifies as a build
A build is included when the public record identifies what was made, who made or deployed it, what Claude surface was involved, and what evidence supports the claim. That evidence can be an official customer story, a public repository, an official product document, or a builder post with enough detail to evaluate.
The gallery intentionally mixes enterprise systems and public projects. Spotify, Ramp, and Rakuten show how large organizations operationalize Claude Code. Zettair shows an individual expert steering an agent through a complex product. Public repositories show the tooling layer that has grown around the ecosystem.
- Included: case studies, public projects, templates, integrations, build systems, and evidence-backed demos.
- Excluded: unsourced social claims, prompt-only posts, speculative roadmaps, and duplicate tutorial content.
- Linked out: step-by-step implementation guidance belongs on sibling sites in the Claude Network.
The missing lens
The useful question is not whether Claude Code can produce code. The useful question is what kind of system the human built around it: a local feedback loop, a CI workflow, a fleet migration system, an MCP-connected operations loop, or a template that packages team norms.
Each project card names that pattern so readers can compare builds across different levels of maturity. A public demo and a production migration agent should not be judged by the same evidence bar, but both can teach something concrete.
Which model and surface built it, as of September 2026
Every card now carries a surface line, and that line is often an admission. The enterprise case studies on this site were published before the current lineup existed, and none of them name a model generation. Their numbers describe Claude Code and Claude Agent SDK as those products worked at the time, so they should not be read as Opus 5 or Fable 5.1 results.
The current generally available lineup is Claude Fable 5.1 for the most demanding long-horizon agentic work, Claude Opus 5 as the recommended starting point for most workloads, Claude Sonnet 5 for the speed and intelligence balance, and Claude Haiku 4.5 as the fastest and cheapest. Anthropic notes that Fable 5.1 defaults to High effort inside Claude Code and Medium on Claude.ai and in Claude Cowork, which is enough on its own to make two runs of the same prompt incomparable across surfaces.
The surface list has also grown past the terminal. A build can now come out of Claude Code, Claude Code on the web, the Claude Agent SDK, Claude in Chrome, or Claude Cowork, and each one leaves a different kind of evidence behind. For the full model comparison and pricing question, see claudecentral.com; this page only cares about attributing a build correctly.
- Record the surface and the model generation when the source states them, and say so plainly when it does not.
- Treat undated adoption metrics as claims about a product era, not about a specific model.
- Effort settings differ per surface, so a Claude Code result and a Cowork result are not the same experiment.
All Gallery Cards
Verified builds and build surfaces
A scale-replica search engine over a large English Wikipedia slice, with autosuggest, query-biased snippets, related queries, topic summaries, and an iOS app in progress.
It is one of the clearest public examples of Claude Code amplifying deep domain expertise rather than replacing it.
Claude surface
Claude Code; the source does not name a model generation
Pattern
Senior engineer steering an agent through a full-stack search product.
A background coding agent for complex, semantic code migrations across large repository fleets, integrated into Spotify Fleet Management.
The case shows Claude-powered agents moving beyond local pair-programming into repeatable, organization-scale code transformation.
Claude surface
Claude Agent SDK; the source does not name a model generation
Pattern
Claude Agent SDK embedded inside an internal fleet-management system.
Ramp reports using Claude Code for test automation, documentation, parallel development, incident response prototypes, and project-management-to-code workflows.
It demonstrates Claude Code as a composable developer tool inside an already high-throughput engineering culture.
Claude surface
Claude Code and MCP; the source does not name a model generation
Pattern
CLI extensions, parallel sessions, MCP-connected incident response, and ticket-to-code loops.
Rakuten reports Claude Code results across autonomous refactoring, faster feature delivery, code modification accuracy, and managed-agent deployment.
It is a rare public enterprise case with concrete time-to-market and accuracy metrics attached to Claude Code.
Claude surface
Claude Code and managed agents; the source does not name a model generation
Pattern
Autonomous coding plus managed agents spread across business functions.
The official GitHub Actions integration exposes Claude Code inside GitHub workflows and is also a base layer for custom automation.
It is the connective tissue between one-off coding sessions and agentic engineering workflows that leave reviewable artifacts.
Claude surface
Claude Code GitHub Actions
Pattern
Issue and PR workflows where a mention can create PRs, implement changes, or review code.
Anthropic describes internal teams using Claude Code for tests, reviews, incidents, prototypes, visualizations, documentation, and knowledge search.
The examples show the same tool being used by engineers, designers, security teams, infrastructure teams, and data scientists.
Claude surface
Claude Code; the source does not name a model generation
Pattern
Design-to-code loops, incident diagnosis, test writing, React visualizations, and codebase discovery.
Anthropic reports that Claude Fable 5.1 trained a neural network to produce a new high-resolution elevation map covering a third of Venus, built from NASA Magellan radar imagery, and released it under a Creative Commons license.
It is the rare frontier-model demonstration that ends in a downloadable artifact other people can use, rather than a benchmark row.
Claude surface
Claude Fable 5.1
Pattern
Model trains a neural network over decades-old public instrument data and ships the output as a licensed dataset.
Research artifact - Reported, open-sourcing planned
GPU kernels for open-source science models
Anthropic, with Claude Mythos 5.1
Anthropic reports that Claude Mythos 5.1 wrote custom GPU kernels and cached intermediate results to speed up seven open-source protein and genomics models, working only from publicly available source code.
The verification story is the interesting part: the speedup claim is paired with identical outputs, which is the kind of check a build note can actually evaluate.
Claude surface
Claude Mythos 5.1, trusted access only
Pattern
Agent reads public source code, writes custom kernels, and proves the change by holding outputs identical.
Primary Sources
Source trail
Links are cited for factual claims on this page. Access dates are kept so future updates can re-check drift.
Claude 3.7 Sonnet and Claude Code
Anthropic - official blog - accessed 2026-07-06
Launch post for Claude Code as an agentic coding tool and early coding benchmarks.
Claude Code overview
Anthropic Docs - official docs - accessed 2026-07-06
Current capability overview: local, web, IDE, git, MCP, hooks, skills, and agents.
Choosing a Claude model
Anthropic Docs - official docs - accessed 2026-09-19
Current generally available lineup and official guidance on picking between Fable 5.1, Opus 5, Sonnet 5, and Haiku 4.5.
Claude Opus 5
Anthropic - official blog - accessed 2026-09-19
Opus 5 launch on 2026-07-24, the default on Claude Max and the strongest model on Claude Pro.
Claude Fable 5.1 and Claude Mythos 5.1
Anthropic - official blog - accessed 2026-09-19
Fable 5.1 launch on 2026-09-01, default effort per surface, and the Venus elevation map, protein binder, and GPU kernel research artifacts.
Zettair Search Engine Replica Built with Claude Code
Hugh Williams on LinkedIn - public builder post - accessed 2026-07-06
Builder post describing the Zettair search-engine replica, feature set, performance claims, and Claude Code involvement.
Spotify cuts migration time by 90% with Claude Agent SDK
Anthropic Customer Stories - official case study - accessed 2026-07-06
Spotify background coding agent integrated into Fleet Management for complex code migrations.
Ramp Claude Code case study
Anthropic Customer Stories - official case study - accessed 2026-07-06
Ramp engineering workflows for test automation, docs, parallel development, incidents, and ticket-to-code.
Rakuten accelerates development with Claude Code
Anthropic Customer Stories - official case study - accessed 2026-07-06
Reported time-to-market reduction, sustained autonomous coding, code-modification accuracy, and managed-agent deployment.
claude-world/claude-world-examples
GitHub - public repository - accessed 2026-07-06
Community examples, guides, templates, case studies, and Director Mode material.