# agentsite-static-version=b4ad16d2-b0b0-45dc-a25e-d13779e23c7b # buildmoda.ai > AI-optimized mirror of buildmoda.ai containing 18 pages totalling 19,885 words of clean markdown content, structured data, and semantic HTML. Original source: https://buildmoda.ai. Last updated: 2026-08-04T00:54:03.493Z. Each page is available as HTML (with JSON-LD structured data) and Markdown (text-only, ideal for LLMs and RAG). ## Homepage - [Moda Labs — AI Infra and Workflow Services for SaaS, Data and Fintech Companies](/content/site-root.html): MCPs, skill libraries, evals, agent harnesses, workflows and critical AI infrastructure for teams moving up the AI maturity ladder. (555 words) - [Moda Labs — AI Infra and Workflow Services for SaaS, Data and Fintech Companies](/content/site-root.html): Moda Labs is an AI infrastructure agency for SaaS, data, and platform companies. We build MCPs, skill libraries, evals, coding harnesses, and agentic harnesses — plus custom agentic workflows for teams moving up the AI maturity ladder. (597 words) ## Articles & Blog Posts - [Privacy Policy — Moda Labs](/content/privacy/index.html): How Moda Labs collects, uses, and protects your information. (6,070 words) - [bobi for Engineering — agent teams for eng, SRE, and sprint ops | Moda Labs](/content/bobi/engineering/index.html): Engineering capacity you didn't have to hire. Meet the bobi engineering agent teams: an eng team that turns issues into reviewed PRs, an SRE team that root-causes incidents in the moment, and a sprint manager that keeps the board true. Open source, self-hosted, human gates by design. (1,452 words) - [Terms of Service — Moda Labs](/content/terms/index.html): LEGAL (1,613 words) - [Bobi: The Framework for Agent Teams | Moda Labs](/content/bobi/index.html): A lightweight CLI framework that runs teams of AI agents, delivering trusted work across your enterprise. (1,627 words) - [Venn: How Moda Launched a New AI Product for Barndoor in 6 Months — Moda Labs](/content/case-studies/barndoor-ai/index.html): CASE STUDY (821 words) - [Services — MCPs, Skill Libraries, Evals & Agentic Harnesses | Moda Labs](/content/services/index.html): Moda Labs embeds experienced product and engineering talent to deliver high quality AI and data work quickly, with a craft-first bar and a long-haul mindset. (310 words) - [Blog — Field Notes on Building Meaningful AI — Moda Labs](/content/blog/index.html): BLOG (440 words) - [Case Studies — Moda Labs](/content/case-studies/index.html): CASE STUDIES (77 words) - [Deployable agent teams — Moda Labs](/content/blog/deployable-agent-teams/index.html): Manual agent orchestration is micromanaging AI interns. What a harness needs to run deployable agent teams — configurable teams, deterministic workflows, a shared chat surface, a second brain — and the measured impact of running three of them. (2,227 words, Jul 21, 2026) - [The Craft of AI](/content/blog/a-new-way-to-work-autonomous-agent-teams/index.html): How I went from manually steering a single Claude agent to running a coordinated team of 11 autonomous agents from Slack — an event-driven harness, a shared second brain and memory, flexible orchestration, and where a standing team wins. (1,969 words, Jul 8, 2026) - [Harness engineering when reasoning is exponential](/content/blog/harness-engineering-when-reasoning-is-exponential/index.html): Harness engineering is the scaffolding that turns a model’s raw reasoning into reliable work. Six principles for a harness that delivers today and grows with tomorrow’s 10x-smarter models. (1,884 words, Jun 17, 2026) - [The Return of the Eval](/content/blog/the-return-of-the-eval/index.html): AI evals are back — not as fine-tuning moats but as telemetry for agent performance. Why agent workflows, model drift, and token costs demand evals, and a five-step path to get started. (Jun 10, 2026) - [The Craft of AI](/content/blog/design-mcps-for-the-agent/index.html): MCP design principles from shipping 50+ servers: build fewer, more expressive tools instead of one-per-endpoint, return agent-readable output, and pick auth that scopes safely. (Jun 5, 2026) - [Multi-Player Agents](/content/blog/multi-player-agents/index.html): Building an agent for yourself is easy. Pointing it at a team turns it into a negotiation across identity, memory, guardrails, orchestration, and cost. A four-tier framework for the compounding complexity of multi-player agents. (Jun 3, 2026) - [The AI Coding Maturity Curve](/content/blog/ai-coding-maturity-curve/index.html): Hand your engineers Claude Code and Lovable without rigor and you industrialize AI Slop Debt. This is the maturity curve from raw agents to coding harnesses, and the move that holds up past 2026. (May 20, 2026) ## About Pages - [About — Moda Labs · AI Infrastructure Agency for SaaS, Data & Platform Companies](/content/about/index.html): We started Moda Labs to work with people who love building as much as we do. We help organizations deliver meaningful AI by embedding talented engineers and product leaders directly into their teams. (243 words) ## Resources - [Full Page Index](/index.html): Browse all cached pages with rich metadata - [About This Cache](/about.html): Methodology, technical details, and usage guidelines - [XML Sitemap](/sitemap.xml): Machine-readable sitemap for crawler discovery - [Robots.txt](/robots.txt): Crawler directives