# www.rippletide.com

> AI-optimized mirror of www.rippletide.com containing 50 pages totalling 25,712 words of clean markdown content, structured data, and semantic HTML. Original source: https://www.rippletide.com/. Last updated: 2026-04-30T22:29:57.115Z.

Each page is available as HTML (with JSON-LD structured data) and Markdown (text-only, ideal for LLMs and RAG).

## Homepage

- [site-root.html](/site-root.html) (1 words)

## Articles & Blog Posts

- [resources/blog/how-to-build-a-reliable-ai-agent/index.html](/resources/blog/how-to-build-a-reliable-ai-agent/index.html) (1 words)
- [resources/blog/we-were-in-the-room-when-the-context-graph-conversation-got-serious.html](/resources/blog/we-were-in-the-room-when-the-context-graph-conversation-got-serious.html) (1 words)
- [resources/blog/ai-agent-evaluation-why-your-current-testing-framework-will-not-survive-production.html](/resources/blog/ai-agent-evaluation-why-your-current-testing-framework-will-not-survive-production.html) (1 words)
- [resources/blog/context-without-enforcement-is-not-infrastructure/index.html](/resources/blog/context-without-enforcement-is-not-infrastructure/index.html) (1 words)
- [company/f-ai/index.html](/company/f-ai/index.html) (1 words)
- [**Self-Learning, Non-Regressive Agents**](/resources/blog/self-learning-non-regressive-agents/index.html): Why agents fail to compound today and how self-learning, non-regressive systems use evaluation and stable trajectories to build durable skill. (1,884 words)
- [resources/blog/index.html](/resources/blog/index.html) (1 words)
- [The Industry Is Optimising the Wrong Layer](/resources/blog/autonomous-agents-need-execution-authority/index.html): Intelligence without execution control is not infrastructure. Why every AI agent stack needs a deterministic authority layer between intent and action. (1,224 words)
- [Context Graph](/developers/context-graph-for-agents/index.html): The Context Graph structures facts, relationships, and decision traces via MCP so AI agents retrieve verifiable context with temporal validity and provenance. (1,544 words)
- [Autonomous code generation requires engineering governance](/enterprise/partners/openai-codex/index.html): Production decision governance for OpenAI Codex. The Rippletide Context Graph enforces engineering conventions, validates constraints, and traces every code generation decision. (1,198 words)
- [AI agents can act, but can you trust their decisions](/enterprise/agent-decision-infrastructure/index.html): Rippletide validates and traces every AI agent decision before execution, delivering deterministic governance and auditability for enterprise systems. (469 words)
- [**Think of it like a GPS, not a textbook**](/resources/blog/your-ai-keeps-making-mistakes-the-problem-isnt-the-model.html): We ran 4,800 evaluations across 8 frontier models and found the same pattern every time: structure beats brute-force prompting. A context graph harness improves accuracy, narrows the gap between models, and makes failures fixable. (1,425 words)
- [The Setup That Feels Like a Superpower](/resources/blog/managing-multiple-claude-code-agents-building-product.html): When you use several Claude Code instances to build a product in parallel, the first thing that breaks is not the code. It is the product itself. (1,435 words)
- [Why F/AI is different](/resources/blog/rippletide-station-f-fai-deal-day-2026/index.html): On April 9, Rippletide took the stage at Station F for the first F/AI Deal Day. Three months into the program, here is what we took away, and why it matters for the agentic ecosystem. (851 words)
- [Our Culture](/company/career/index.html): Join Rippletide and help build the decision context graph for enterprise AI agents. Explore open roles in AI engineering, research, product design, and go-to-market across Paris, San Francisco, and remote. (718 words)
- [Rippletide for Claude Code](/dev/index.html): Claude Code proposes changes. Rippletide decides if they are allowed. Decision infrastructure that enforces your rules at plan time and runtime. Works with Claude Code, Cursor, Windsurf, Cline. (1,254 words)
- [One-shot agents fail under continuity](/resources/blog/winning-the-openai-codex-hackathon-moving-from-outputs-to-outcomes-the-decision-layer.html): We won the OpenAI Codex Hackathon with a continuously running multi-agent system for scientific discovery — here is what we learned. (1,260 words)
- [**I. The harness is a throwaway that is meant to be redesigned for each new model**](/resources/blog/the-harness-is-replaceable-the-decision-problem-isnt.html): Every major AI lab is redesigning the harness layer as models evolve, which means harness-level moats decay faster than most teams expect. The enduring problem is not execution plumbing, it is deterministic pre-execution decision enforcement tied to business rules, authority, and compliance. (1,101 words)
- [From generated to accepted](/enterprise/partners/claude-code/index.html): Triple your Claude Code PR acceptance rate. The Rippletide Context Graph injects team review history, past amendments, and convention memory into plan mode so PRs pass review on the first push. (1,191 words)
- [1) Memory hierarchy before generation](/resources/blog/how-to-keep-codex-aligned-with-team-style-and-avoid-regressions.html): A practical governance pattern for OpenAI Codex in production: memory hierarchy, pre-merge regression contract, decision traceability, and KPI framework for engineering leadership. (680 words)
- [The Decision Layer](/resources/podcast/index.html): The Decision Layer is a podcast by Rippletide exploring the infrastructure gap between AI demos and production-grade agents. Seven episodes on governance, traceability, and trust. (563 words)
- [AI Agent Reliability in Production](/enterprise/ai-agent-reliability/index.html): Achieve production-grade AI agent reliability with deterministic decision validation. Rippletide ensures every agent action is correct, compliant, and traceable before execution. (237 words)
- [Autonomous service needs governance at scale](/enterprise/partners/salesforce-agentforce/index.html): Scale Salesforce Agentforce safely with deterministic policy enforcement, explicit authorisation and full decision traceability. (523 words)
- [AI Agent Evaluation](/developers/ai-agent-evaluation/index.html): Rippletide evaluates AI agent outputs at runtime, before the answer reaches the user. Extract claims, verify against trusted data, block hallucinations. (405 words)
- [Rippletide vs LangChain Guardrails](/enterprise/rippletide-vs-langchain-guardrails/index.html): Compare Rippletide decision runtime with LangChain guardrails. Learn why deterministic pre-execution enforcement outperforms probabilistic output filtering for enterprise AI agents. (360 words)
- [Successful exits by our CEO](/company/about/index.html): Meet the team behind Rippletide, the hypergraph decision database for enterprise AI agents. Founded in Paris, backed by OneRagtime, AWS, and BCG. (1,005 words)
- [AI Agent Guardrails vs Decision Runtime](/enterprise/ai-agent-guardrails-vs-decision-runtime/index.html): Compare traditional AI guardrails with decision runtime enforcement. Learn why deterministic pre-execution validation delivers superior reliability, compliance, and auditability. (347 words)
- [Customer Support Agents](/enterprise/use-cases/index.html): Discover how Rippletide governs AI agent decisions across customer support, coding agents, cybersecurity incident response, and background AI analysts. (270 words)
- [How to Prevent AI Agent Hallucinations in Production](/enterprise/prevent-ai-agent-hallucinations/index.html): Prevent AI agent hallucinations in production with deterministic decision validation. Rippletide grounds every agent action in verified data through the decision context graph. (264 words)
- [Monitoring vs Pre-Execution Enforcement for AI Agents](/enterprise/monitoring-vs-pre-execution-enforcement/index.html): Compare monitoring and pre-execution enforcement for AI agents. Learn why catching problems before execution delivers superior reliability and compliance for enterprise deployments. (331 words)
- [AI Agent Auditability and Compliance](/enterprise/ai-agent-auditability/index.html): Meet enterprise audit and compliance requirements for AI agents. Rippletide provides immutable decision traces, causal lineage, and deterministic enforcement for every agent action. (289 words)
- [« Notre outil peut dire qu'il ne sait pas au lieu d'inventer une réponse » : Rippletide, la start-up qui veut rendre l'IA plus fiable](/resources/press/index.html): Rippletide in the news, featuring press coverage, media mentions, and industry recognition from FrenchWeb, Stanford AI Lab, BusinessWire, and more. (178 words)
- [Autonomous AWS execution needs deterministic governance](/enterprise/partners/aws-bedrock-agentcore/index.html): Production decision governance for Amazon Bedrock AgentCore with deterministic authorization, context validation, and structured audit traces before execution. (497 words)
- [1. Company Information](/terms-and-conditions/index.html): Rippletide terms and conditions of service, covering intellectual property, data protection, liability, and governing law for the platform. (319 words)
- [Enterprise AI Guardrails: Why Probabilistic Is Not Enough](/enterprise/enterprise-ai-guardrails/index.html): Traditional probabilistic AI guardrails fail in enterprise production. Rippletide delivers deterministic pre-execution enforcement through the decision context graph. (258 words)
- [1. Introduction](/privacy/index.html): Rippletide privacy policy: how we collect, use, and protect your personal data. SOC 2 Type II compliant, GDPR and CCPA ready. (344 words)
- [AI Agent Governance for Enterprise](/enterprise/ai-agent-governance/index.html): Enterprise AI agent governance requires deterministic enforcement, not probabilistic filtering. Rippletide validates every agent decision before execution with full auditability. (319 words)
- [GPU-accelerated agents need structured governance](/enterprise/partners/nvidia/index.html): Govern AI agents running on NVIDIA infrastructure with deterministic policy enforcement, explicit authorisation and full decision traceability. (334 words)
- [Autonomous agents on Google Cloud need explicit control](/enterprise/partners/google-adk-gemini/index.html): Govern Google ADK and Gemini-powered agents with deterministic policy enforcement, explicit authorisation and full decision traceability. (355 words)
- [Meetup](/resources/events/index.html): Rippletide events: hackathons, partner sessions, and conferences where we showcase the future of trustworthy enterprise AI agents and decision infrastructure. (160 words)
- [Framework-built agents need production governance](/enterprise/partners/langchain-frameworks/index.html): Govern LangChain-powered agents with deterministic policy enforcement, explicit authorisation and full decision traceability. (347 words)
- [Azure AI agents need explicit governance at scale](/enterprise/partners/microsoft-foundry/index.html): Govern AI agents built on Microsoft AI Foundry with deterministic policy enforcement, explicit authorisation and full decision traceability. (348 words)
- [Open-weight models need structured governance](/enterprise/partners/mistral-ai/index.html): Deploy Mistral AI models in production with deterministic policy enforcement, explicit authorisation and full decision traceability. (326 words)
- [Data-driven agents need governance at the decision layer](/enterprise/partners/snowflake/index.html): Govern AI agents operating on Snowflake data with deterministic policy enforcement, explicit authorisation and full decision traceability. (354 words)
- [Hypergraph Decision Database for Enterprise AI Agents](/resources/whitepaper/index.html): The Rippletide whitepaper on how the Hypergraph Decision Database enables hallucination-free, explainable AI agents for the enterprise. (88 words)
- [Tell us about your project](/beta/index.html): Join the Rippletide beta and get hands-on with decision infrastructure for AI agents before general availability. (40 words)
- [Looking for something else?](/company/contact/index.html): Get in touch with Rippletide: book a demo, discuss your AI agent use case, or explore a partnership. Start with a 2-week validation sprint. (88 words)
- [Executive Benchmark Sprint](/pricing/index.html): Rippletide engagement models for enterprise AI agents, from a 10-day validation sprint to full production deployment with engineering support. (158 words)
- [sitemap-xml.html](/sitemap-xml.html) (364 words)

## Resources

- [Full Page Index](/index.html): Browse all cached pages with rich metadata
- [About This Cache](/content/about.html): Methodology, technical details, and usage guidelines
- [XML Sitemap](/content/sitemap.xml): Machine-readable sitemap for crawler discovery
- [Robots.txt](/content/robots.txt): Crawler directives