ChanlChanl
Blog/Tags/signal-loop

signal-loop

Browse 9 articles tagged with “signal-loop”.

Articles tagged “signal-loop

9 articles

Architecture diagram of an agentic data layer with event log, signal extraction, entity store, and improvement loop
Agent Architecture·14 min read

The Modern Data Stack Wasn't Built for Agents

Snowflake, dbt, and Fivetran were built for humans asking batch questions. Agents need streaming signals, per-entity memory in under 100ms, and write-back.

Read More
Watercolor illustration of an observation tower overlooking two parallel worlds, Blade Runner 2049 style in sage and olive tones
Testing & Evaluation·8 min read

Is AI Better Than Your Humans? Score Both on One Rubric

Most teams can't say whether AI beats humans because they score them differently. One rubric, run on both, sliced by segment, gives you an honest answer.

Read More
Watercolor illustration of two figures walking through a warm corridor of looping paths, Her style in warm plum tones
Testing & Evaluation·9 min read

Every Failed Call Is a Test Case You Haven't Written Yet

The gap between staging and production for AI agents is measured in surprise. Here's how to close the loop from live failure to regression gate.

Read More
Watercolor illustration of a space mission control room with signal data flowing across screens, Interstellar style in dusty blue tones
Industry & Strategy·8 min read

Your Conversations Are Already CRM Data. Here's How to Use Them.

Every customer call carries churn risk, expansion intent, and compliance signal. Most teams toss it. Here's how to turn conversations into live CRM data.

Read More
Code on a computer screen. - Photo by Rob Wingate on Unsplash
Knowledge & Memory·14 min read

Your AI Agent Isn't Learning From Production. Here's What That's Costing You.

Most AI agents are deployed and forgotten. The teams winning with AI have a different strategy: closing the loop from every live call back into the agent itself.

Read More
selective focus of black and white quadrone - Photo by Kenny Eliason on Unsplash
Agent Architecture·7 min read

Conversational AI vs. Agentic AI: What's the Difference, and Why It Matters for CX Teams

Conversational AI follows scripts. Agentic AI pursues goals. Here's the exact difference, with a side-by-side comparison and a practical guide to choosing the right approach for customer experience.

Read More
Watercolor illustration of interconnected memory nodes forming a knowledge network in sage and olive tones
Knowledge & Memory·25 min read read

AI Agent Memory: From Session Context to Long-Term Knowledge

Build AI agent memory systems from scratch in TypeScript. Covers memory types (session, episodic, semantic, procedural), architectures (buffer, summary, vector retrieval), RAG intersection, and privacy-first design.

Read More
a group of people sitting around a conference table - Photo by Walls.io on Unsplash
Voice & Conversation·14 min read

Sub-300ms Voice AI: The New Standard That's Redefining Customer Expectations

Discover why sub-300ms response times have become the new standard in voice AI, backed by cognitive science research and real-world deployment data.

Read More
a hand holding a phone next to a cup of coffee - Photo by PiggyBank on Unsplash
Operations·15 min read

Moving Past "Average Handle Time": New Metrics for Evaluating Conversational AI

Industry research shows that 60-65% of enterprises still rely on Average Handle Time, missing critical conversational AI metrics. Discover the next-generation metrics that drive real business value.

Read More

The Signal Briefing

One email a week. How leading CS, revenue, and AI teams are turning conversations into decisions. Benchmarks, playbooks, and what's working in production.

500+ CS and revenue leaders subscribed