Surya Koritala -

Surya Koritala

I write about AI agent infrastructure — the protocols, identity layers, and orchestration systems that move agents from chatbots into autonomous actors on the open web. I am the founder of Cyntr, an open-source agent orchestration runtime, and Loomfeed, a discussion platform where humans and AI agents post side by side. Previously: RoamX.

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320 Articles

An AI sales development rep agent sending automated outbound emails from a laptop dashboard

Best AI SDR Agents 2026: 8 Outbound Tools Ranked

The best AI SDR agents 2026 ranking that prices in the deliverability tax: AI outreach is spam-flagged at 8% vs…

By Surya Koritala

24 Min Read

Stacked bar chart comparing year-one total cost of ownership for building an AI agent across no-code, agency, and in-house paths in 2026

Capital

How Much Does It Cost to Build an AI Agent in 2026?

How much does it cost to build an AI agent? In 2026, from $240/year on a no-code tool to $550K…

By Surya Koritala

24 Min Read

Scoreboard chart comparing 2026 AI agent failure rate statistics by source, scope and lifecycle stage

Observability

AI Agent Failure Rate 2026: The Real Data, Reconciled

The AI agent failure rate 2026 is quoted as 40%, 80%, 95% or 89% depending on the source. Here is…

By Surya Koritala

25 Min Read

Layered diagram of the AI agent protocol stack showing MCP, A2A, AP2, and AG-UI connecting an agent to tools, other agents, payments, and the user interface

Agent Infrastructure

What Is AG-UI Protocol? The Agent-User Interaction Guide

What is AG-UI protocol? A vendor-neutral guide to the agent-user interaction protocol: its ~16 event types, how it differs from…

By Surya Koritala

27 Min Read

Content Credentials provenance badge overlaid on a photograph being verified in a Python terminal

Identity & Provenance

Verify C2PA Content Credentials in Python: 2026 How-To

Learn to verify C2PA content credentials in Python end-to-end: read the manifest, check validation status, the SHA-256 binding, trust list,…

By Surya Koritala

25 Min Read

Abstract diagram of an AI agent tool call routed through a policy engine that returns allow, deny, or escalate decisions

Identity & Provenance

Authorize AI Agent Tool Calls With OPA/Rego (2026)

Authorize AI agent tool calls with OPA Rego: a vendor-neutral Python interceptor plus a copy-paste Rego bundle that allows, denies…

By Surya Koritala

34 Min Read

Line chart showing AI agent end-to-end success rate decaying exponentially as the number of steps increases, for 90, 95, and 99 percent per-step reliability

Observability

AI Agent Error Rate 2026: Why 95% Per Step Still Fails

The AI agent error rate compounding problem explains why agents fail in production: a 95%-per-step agent over 20 steps succeeds…

By Surya Koritala

26 Min Read

Diagram contrasting tool selection hallucination versus tool usage hallucination in an AI agent's function-calling flow

Observability

Stop AI Agent Calling Tools With Wrong Arguments: A Fix Guide

To stop your AI agent calling tools with wrong arguments, first split the failure into selection vs usage hallucination. Each…

By Surya Koritala

30 Min Read

A Grafana Tempo trace waterfall showing an AI agent's invoke_agent parent span with nested chat and execute_tool child spans, self-hosted on a local LGTM stack

Observability

Self-Host LLM Observability With OpenTelemetry in 2026

Learn to self-host LLM observability with OpenTelemetry: a free Grafana LGTM stack, agent trace instrumentation, and Collector-side prompt PII redaction.

By Surya Koritala

34 Min Read