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Insights & Resources
The science of agent decisions. The craft of shipping them. The reality of building the company behind it.


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.

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.

We Were in the Room When the Context Graph Conversation Got Serious
Inside Neo4jβs inaugural Context Graph Meetup in San Francisco: why it mattered, what the speakers aligned on, and what it signals for enterprise AI agents.

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.

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%.

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.

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.

Context Graphs: What They Actually Solve?
How Context Graphs solve the context failures behind AI agent unreliability by providing applicability, temporal validity, and traceability.

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.

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.
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.
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.
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.
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.
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.
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.
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.
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.

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.
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.

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

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.

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.

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.

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.

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.

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

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.

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.

Inbound vs Outbound Marketing?
Inbound tactics dominate long-term ROI while outbound channels excel at short-term growth β the smart strategy combines both.

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.

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.

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

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.

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.

Key Findings for Selling in the French Canadian Market
Effectively engaging the French Canadian market requires adapting language, building relationships, and understanding cultural nuances.

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.

Rippletide's Values β #3: Integrity
How Rippletide practices integrity through ethical discussions, transparent decision-making, and building trustworthy AI.

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.

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.

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.

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.

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.