How to Connect AI Agents to Your Crypto API Using an MCP Server
Learn how MCP servers help crypto products connect AI agents to APIs, wallets, payment workflows, approvals, and transaction infrastructure safely.
Insights
AI & ML development
AI Insights Under Production Risk
Decision notes on evaluation, observability, rollout control, and ownership, focused on what fails when AI moves from PoC to production.
RAG Latency and Cost Failure Modes in Production AI Workflows
RAG can look useful in a demo and become slow, expensive, or noisy once real users and real internal data enter the workflow.
Safe Rollout and Rollback for AI Workflows
AI workflows become risky when the first live exposure is too broad.
LLM Observability: What to Monitor in Production AI Workflows
A production AI workflow can fail while the service still looks healthy.
LLM Evaluation and Regression Gates for Production AI Workflows
A few strong AI outputs can make a workflow feel ready before it has been tested against the real task.
Why AI PoCs Fail in Production Workflows
AI PoCs can look convincing in a controlled demo and still break once they meet real product workflows.
How to Choose the First AI Workflow
The first AI workflow shapes the whole production workflow.
Context, Permissions, and Approval Flow in Production AI
Production AI depends on more than model output.
What a Production AI Delivery Plan Needs Before Launch
A production AI delivery plan should make the first workflow explicit before build pressure expands the work.
AI Case Studies Are Weak When They Hide Rollout, Constraints, and Ownership
An AI case study is useful only when it shows how the workflow reached production and what made the launch difficult.
What Makes an AI Vendor Credible for Production Work
A credible AI vendor should be able to explain how a workflow reaches production and stays manageable after release.
What is DeFAI? Explaining Promising Tech for 2026
Discover DeFAI in 2026: AI co-pilots simplify DeFi with automated trading, staking, and risk management. Learn how projects like Griffain drive Web3 adoption for beginners!