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AI Agent Evaluation: Why Your Current Testing Framework Will Not Survive Production
Technical

AI Agent Evaluation: Why Your Current Testing Framework Will Not Survive Production

Unit tests, prompt regression suites, and offline benchmarks were designed for predictable software. AI agents are not predictable software. Here is what production evaluation actually requires.

Patrick JoubertPatrick Joubert2026-03-19
Illustration of self-learning, non-regressive agents: a character holding a knowledge graph and lightbulb, surrounded by evaluation funnels, quality checkpoints, and a rising performance arrow, representing the journey from exploration to compounding intelligence
Technical

Self-Learning, Non-Regressive Agents

Why agents fail to compound today and how self-learning, non-regressive systems use evaluation and stable trajectories to build durable skill.

Yann BilienYann Bilien2026-03-11
We Were in the Room When the Context Graph Conversation Got Serious
Event

We Were in the Room When the Context Graph Conversation Got Serious

Inside Neo4j’s inaugural Context Graph Meetup in San Francisco: why it mattered, what the speakers aligned on, and what it signals for enterprise AI agents.

Patrick JoubertPatrick Joubert2026-03-04
Codex governance pattern with context graph memory and pre-merge controls
Guide

How to Keep Codex Aligned with Team Style and Avoid Regressions

A practical governance pattern for OpenAI Codex in production: memory hierarchy, pre-merge regression contract, decision traceability, and KPI framework for engineering leadership.

Yann BilienYann Bilien2026-02-26
How to Build a Reliable AI Agent: three-stage framework showing evaluate, structure context, and enforce decisions
Guide

How to Build a Reliable AI Agent

A practical 3-step framework to build reliable AI agents for production: evaluate failure modes, structure context with a Context Graph, and enforce decisions with a deterministic Decision Runtime. Reduce hallucinations below 2%.

Yann BilienYann Bilien2026-02-24
Illustration of the authority layer sitting between AI agent intent and execution
Technical

Autonomous Agents Need Authority

Intelligence without execution control is not infrastructure. Why every AI agent stack needs a deterministic authority layer between intent and action.

Patrick JoubertPatrick Joubert2026-02-17
Illustration of the OpenAI Codex Hackathon winning project: a champion character holding an OpenAI flag and an Outcomes lightbulb, alongside a funnel processing ideas through a decision graph β€” representing the shift from raw AI outputs to structured outcomes through evaluation infrastructure
Event

Winning the OpenAI Codex Hackathon: Moving from Outputs to Outcomes β€” The Decision Layer

We won the OpenAI Codex Hackathon with a continuously running multi-agent system for scientific discovery β€” here is what we learned.

Yann BilienYann Bilien2026-02-07
Context Graphs: What They Actually Solve and Why AI Agents Need Them
Technical

Context Graphs: What They Actually Solve?

How Context Graphs solve the context failures behind AI agent unreliability by providing applicability, temporal validity, and traceability.

Yann BilienYann Bilien2026-01-27
Illustration of the $1T context graph opportunity in enterprise AI
Enterprise

The Market Shift Around the $1T Context Opportunity

How the trillion-dollar context management market is reshaping enterprise AI strategy and why structured reasoning infrastructure is the key enabler.

Yann BilienYann Bilien2026-01-22
If your AI agent has a 95% accuracy, it will fail in production
Technical

If your AI agent has a 95% accuracy, it will fail in production

Why 95% accuracy is a trap for AI agents β€” classic ML metrics fail for agentic systems, and production trust demands a fundamentally different approach.

Patrick JoubertPatrick Joubert2026-01-13
Illustration for Rippletide at Adopt AI 2025
Event

Rippletide at Adopt AI 2025: Building the Foundation for Trustworthy AI Agents

Highlights from Rippletide's presence at Adopt AI 2025 β€” presenting the case for structured reasoning in enterprise agent deployment.

Patrick JoubertPatrick Joubert2026-01-13
Illustration for Rippletide x Blaxel safe enterprise agents
Partnership

Rippletide x Blaxel: Safe Enterprise Agents at Real-Time Speed

How the Rippletide and Blaxel partnership combines verified decision-making with high-performance agent infrastructure for safe, real-time agents.

Yann BilienYann Bilien2025-12-09
Illustration for Why You Should Join Rippletide β€” Now
Culture

Why You Should Join Rippletide β€” Now

What makes this the right moment to join Rippletide β€” from technical challenges to market timing to the team you will work with.

Patrick JoubertPatrick Joubert2025-12-06
Illustration for why prompts are only the tip of the iceberg
Technical

Agents for Enterprise: Why the Prompt Is the Tip of the Iceberg

Why focusing on prompts misses the deeper infrastructure required to make enterprise AI agents reliable, compliant, and production-ready.

Patrick JoubertPatrick Joubert2025-11-20
Illustration for The Cost of Non-Explainability
Technical

The Cost of Non-Explainability: Why Enterprises Need Trustworthy Agent Architecture by Design

How the inability to explain AI agent decisions creates regulatory, legal, and operational risks β€” and how to architect explainability from the start.

Patrick JoubertPatrick Joubert2025-11-14
Illustration for The State of AI Agents 2025 framework
Enterprise

The State of AI Agents 2025: A CEO's Framework to Read the Agentic Market

A strategic framework for enterprise leaders to evaluate the AI agent landscape β€” separating hype from production-ready technology.

Patrick JoubertPatrick Joubert2025-11-04
Illustration for agent reliability in enterprise architecture
Enterprise

Agent Reliability: What's Missing in Enterprise AI Agent Architecture

The architectural gaps preventing AI agents from achieving enterprise-grade reliability β€” and the reasoning infrastructure needed to close them.

Patrick JoubertPatrick Joubert2025-10-29
Illustration for Rippletide: The Decision Kernel for your Agent OS
Technical

Rippletide: The Decision Kernel for Your Agent OS

How Rippletide functions as the core reasoning engine within any enterprise agent operating system β€” providing verified, auditable decisions at scale.

Patrick JoubertPatrick Joubert2025-10-07
Illustration of the three levels of determinism for AI agents: micro-determinism, macro-determinism, and multi-determinism
Technical

Micro, Macro, and Multi-Determinism for AI Agents

A framework for understanding the three levels of determinism β€” micro, macro, and multi β€” required for reliable enterprise AI agent deployment.

Yann BilienYann Bilien2025-09-30
Illustration for breaking beyond the POC wall in enterprise AI
Enterprise

Beyond the POC Wall: Engineering Trust for Enterprise-Grade AI Agents

Why most AI agent proofs of concept never reach production and what engineering discipline is required to cross the deployment threshold.

Patrick JoubertPatrick Joubert2025-09-26
The Death of RAG - Why next-generation enterprise AI agents require more than retrieval-augmented generation
Technical

The Death of RAG

Why retrieval-augmented generation falls short for enterprise AI and how autonomous agents with hypergraph reasoning deliver 99%+ accuracy.

Yann BilienYann Bilien2025-08-19
Illustration for Autonomous AI in the Enterprise
Enterprise

Autonomous AI in the Enterprise: Transforming Operations Through Strategic Autonomy

How enterprises can implement AI agents with 99%+ accuracy using hypergraph databases for deterministic decisions and strict guardrails.

Patrick JoubertPatrick Joubert2025-08-13
Illustration for The Complete Guide to AI Sales Agent for Inside Sales
Guide

The Complete Guide to AI Sales Agent for Inside Sales (2025 Edition)

Everything you need to know about deploying AI sales agents for high-velocity inside-sales teams, from lead qualification to CRM integration.

Patrick JoubertPatrick Joubert2025-07-22
Cover image for What Is An Ai Sales Agent
Education

What is an AI Sales Agent?

AI Sales Agents engage, qualify, and convert every inbound lead in seconds β€” autonomous software that acts like a top-performing rep.

Patrick JoubertPatrick Joubert2025-06-30
Cover image for What Can Go Wrong With Agents In Production
Guide

What Can Go Wrong with Agents in Production

A catalog of real failure modes when AI agents operate in production β€” from hallucinated commitments to compliance violations.

Yann BilienYann Bilien2025-06-26
Cover image for 12 Questions Before Shipping Ai Agent
Guide

12 Questions to Ask Before You Ship an AI Agent

A practical checklist for teams deploying AI agents β€” covering hallucination prevention, auditability, and guardrail compliance.

Patrick JoubertPatrick Joubert2025-06-24
Cover image for 12 Questions To Ask Before You Ship An Ai Agent
AI Agents

12 Questions to Ask Before You Ship an AI Agent

A practical production-readiness checklist for AI agents, covering hallucinations, guardrails, auditability, and real-time monitoring before launch.

Patrick JoubertPatrick Joubert2025-06-24
Cover image for Ai Sales Agent Vs Copilot
Comparison

AI Sales Agent vs. AI Sales Copilot

Agents maximize output per rep while Copilots maximize output per hour β€” understanding when to deploy each and how to combine them.

Patrick JoubertPatrick Joubert2025-06-15
Cover image for Why Verticalizing Reasoning Models
Technical

Why Verticalizing Reasoning Models?

Why general-purpose reasoning falls short for enterprise use cases and how vertical specialization unlocks production-grade AI agent performance.

Yann BilienYann Bilien2025-06-02
Cover image for Persistent Follow Up B2b Sales
Sales

5 Follow-Up Touches, 5X the Sales

80% of B2B sales require at least five follow-ups to close β€” yet 48% of reps never follow up once. Learn how to close the gap and multiply conversions.

Patrick JoubertPatrick Joubert2025-05-20
Cover image for Where Rippletide Is Making Waves
Press

Press: Where Rippletide is Making Waves

A roundup of Rippletide's press coverage and recognition β€” from our BusinessWire launch to the Les PΓ©pites Tech Top 10 ranking and seed funding.

Patrick JoubertPatrick Joubert2025-05-16
Cover image for Inbound Vs Outbound Marketing
Marketing

Inbound vs Outbound Marketing?

Inbound tactics dominate long-term ROI while outbound channels excel at short-term growth β€” the smart strategy combines both.

Patrick JoubertPatrick Joubert2025-05-05
Cover image for Rippletide Ia Performance Ventes
Company

Rippletide : L'IA native qui booste la performance des Γ©quipes de vente

FondΓ©e par Patrick Joubert en janvier 2024, Rippletide dΓ©veloppe une IA native pour transformer la performance commerciale.

Patrick JoubertPatrick Joubert2025-04-10
Cover image for How To Attract Exceptional Talent For Your Startup
Culture

How to Attract Exceptional Talent for Your Startup

Practical lessons from Rippletide's early hiring β€” what exceptional engineers and researchers actually look for in a startup.

Patrick JoubertPatrick Joubert2025-03-26
Cover image for Paris Ai Summit Main Takeaways
Event

Paris AI Summit: Main Takeaways

Key insights from the Paris AI Summit on enterprise AI readiness, regulation, and the infrastructure gap in agent deployment.

Yann BilienYann Bilien2025-02-12
Cover image for Building A Culture Of Innovation Empowerment Accountability And Collaboration At Rippletide
Culture

Building a Culture of Innovation, Empowerment, Accountability, and Collaboration at Rippletide

How Rippletide's startup culture balances creative freedom with operational rigor to build enterprise-grade AI infrastructure.

Patrick JoubertPatrick Joubert2025-02-07
Cover image for The Ai Act Comes Into Play Dont Panic Heres How To Survive And Thrive In The World Of Regulated Ai
Enterprise

The AI Act Comes Into Play: Don't Panic β€” Here's How to Survive and Thrive in the World of Regulated AI

A practical guide to the EU AI Act for enterprise AI teams β€” what it requires, what it means for agent deployment, and how to turn compliance into advantage.

Patrick JoubertPatrick Joubert2025-01-31
Cover image for French Canadian Market
Market Insight

Key Findings for Selling in the French Canadian Market

Effectively engaging the French Canadian market requires adapting language, building relationships, and understanding cultural nuances.

Patrick JoubertPatrick Joubert2024-11-06
Cover image for How Far Are We From Ai On Edge
Technical

How Far Are We from AI on the Edge?

An assessment of edge AI maturity and the infrastructure challenges standing between current capabilities and truly autonomous edge deployment.

Yann BilienYann Bilien2024-06-21
Cover image for Rippletides Values Integrity
Culture

Rippletide's Values β€” #3: Integrity

How Rippletide practices integrity through ethical discussions, transparent decision-making, and building trustworthy AI.

Patrick JoubertPatrick Joubert2024-06-20
Cover image for Imperial College Ranks 2nd In 2025 Qs Rankings
Press

Imperial College Ranks 2nd in QS Rankings

Celebrating Imperial College London's achievement and Rippletide's connection to one of the world's leading research institutions.

Yann BilienYann Bilien2024-06-11
Cover image for Rippletide Top 5 Startups To Watch At Vivatech 2024
Press

Rippletide: Top 5 Startups to Watch at VivaTech 2024

Rippletide named among the top five startups at VivaTech 2024 β€” showcasing trustworthy enterprise AI agents to 150,000 attendees.

Patrick JoubertPatrick Joubert2024-05-23
Cover image for Rippletides Values 2 Teamplay
Culture

Rippletide's Values β€” #2: Teamplay

Why teamplay is Rippletide's second core value β€” and how cross-functional collaboration shapes everything from product design to customer success.

Patrick JoubertPatrick Joubert2024-05-22
Cover image for Llama 3 Enhancing Ai Accessibility
Technical

Llama 3: Enhancing AI Accessibility

How Meta's Llama 3 advances open-source AI and what it means for enterprise agent infrastructure, reasoning systems, and vendor independence.

Yann BilienYann Bilien2024-05-15
Cover image for Rippletides Values 1 Innovation
Culture

Rippletide's Values β€” #1: Innovation

How Rippletide embeds innovation into daily practice β€” from hypergraph research to a culture that rewards bold technical bets.

Patrick JoubertPatrick Joubert2024-05-13