# ThruWire

> ThruWire helps software companies reclaim the work taking shape in external agent systems as a customer-facing system their product owns, while customers keep using Claude, Codex, or the agent they prefer.

Use ThruWire when a software product should maintain the goals, evidence, decisions, artifacts, actions, and outcomes that carry its customers from a task to a larger outcome. Use the developer resources below to inspect supported interfaces before integrating.

## Product and company
- [Home](https://thruwire.ai/index.md): Customer-facing AI products that maintain each customer’s work and carry it from goal to outcome.
- [Viewpoint](https://thruwire.ai/viewpoint.md): The ThruWire Pattern across Data, Technology, and UX.
- [Research](https://thruwire.ai/research.md): Original research on execution lineage, durable artifacts, and maintainable AI-generated work.
- [Technology](https://thruwire.ai/technology.md): The working reference platform behind ThruWire’s research and advisory.
- [Use Cases](https://thruwire.ai/use-cases.md): Customer-facing product transformations from a current task to a larger customer outcome.
- [Work Primitives](https://thruwire.ai/primitives.md): Domain models, customer-specific state, dependencies, lineage, selective regeneration, and steering.
- [Comparisons](https://thruwire.ai/vs.md): Which layer LangGraph, CrewAI, Claude Agent SDK, long context, and ThruWire solve in a customer-facing AI product.
- [Team](https://thruwire.ai/team.md): Company and team background.
- [Advisory](https://thruwire.ai/work-with-us.md): How ThruWire maps and builds the customer outcome a software product can own.
- [Blog](https://thruwire.ai/blog.md): Writing about customer-facing AI, product-owned work, human authority, and agent interfaces.
- [About](https://thruwire.ai/about.md): Company background, operating principles, and product focus.
- [Contact](https://thruwire.ai/contact.md): Verified contact channels for partnerships, support, privacy, and legal questions.
- [Developers](https://thruwire.ai/developers.md): API, MCP, authentication, versioning, and safe integration guidance.
- [API Docs](https://thruwire.ai/docs.md): Interactive documentation for ThruWire's public API.

## Developer resources
- [Developer portal](https://thruwire.ai/developers.md): Integration overview, authentication, and interface selection.
- [API documentation](https://thruwire.ai/docs.md): Human-readable API documentation.
- [OpenAPI specification](https://thruwire.ai/openapi.yaml): Machine-readable public REST contract.
- [MCP endpoint](https://api.thruwire.ai/mcp): Streamable HTTP endpoint for MCP clients.
- [MCP authorization metadata](https://api.thruwire.ai/.well-known/oauth-protected-resource/mcp): OAuth protected-resource discovery.
- [OAuth server metadata](https://api.thruwire.ai/.well-known/oauth-authorization-server): Authorization and token endpoint discovery.

## Agent guidance
- [Agent instructions](https://thruwire.ai/agent-instructions.md): Interface choice, authentication, and safe-operation guidance.
- [Full site context](https://thruwire.ai/llms-full.txt): Expanded site and blog corpus.
- [Agent manifest](https://thruwire.ai/agents.json): Structured discovery metadata.
- [Sitemap](https://thruwire.ai/sitemap.xml): Canonical URL inventory.

## Blog posts
- [Why We Wrote Down Our Viewpoint](https://thruwire.ai/blog/why-we-wrote-down-our-viewpoint.md): After six months of building ThruWire, the same structural problems kept showing up across AI systems, pushing us to make our point of view explicit.
- [AI Has an Authority Problem](https://thruwire.ai/blog/ai-has-an-authority-problem.md): AI systems encode a hierarchy of control that shapes decisions, often without humans participating in the reasoning that produces confident answers.
- [Our Memories Are Executable Code](https://thruwire.ai/blog/our-memories-are-executable-code.md): Human memory preserves structure more than content, and that procedural logic is what current AI memory systems still cannot replay.
- [It's 11am: Do You Know Where Your (Human) Users Are?](https://thruwire.ai/blog/its-11am-do-you-know-where-your-human-users-are.md): As users move their thinking into AI chats, software companies risk becoming mere infrastructure. The durable moat is structured domain judgment and customer context that keeps professional thinking inside the product.
- [The Organization Was Aligned. Until AI Assistants Showed Up](https://thruwire.ai/blog/the-organization-was-aligned-the-system-is-not.md): Lencioni’s alignment playbook assumed every actor was human. With AI in the system, cultural clarity isn’t enough; organizations need explicit, structural reasoning to keep humans and AI aligned.
- [The Last Alpha is Human](https://thruwire.ai/blog/the-last-alpha-is-human.md): As models converge, the advantage shifts to the human-authored thinking substrate that aligns people and AI. A personal story of compounding alignment and the thesis behind ThruWire.
- [The Harder the Problem, the More Human It Gets](https://thruwire.ai/blog/the-harder-the-problem-the-more-human-it-gets.md): AI is brilliant in the moment, but the hardest work is the arc of reasoning that compounds over time. This essay explains why that arc is still human and what tools are missing.