Systems | Development | Analytics | API | Testing
Modern Software Development For Today's Systems & Applications
Customer Service AI Orchestration: Smart Intake Isn't Enough
Customer service AI orchestration connects AI-driven intake to the backend systems and people who actually resolve a request, not just the chatbot that receives it. Every request should trigger an end-to-end resolution, not stop at an automated response. The real challenge with AI in customer service isn’t adoption; it’s fragmentation.
Automating eLearning with AgentSpot: A 7-Agent Pipeline
Seven AgentSpot agents now augment every step of our content development pipeline, shifting our team’s focus from manual operational tasks to high-value content development and strategy. Our eLearning development team at ThoughtSpot manages around 50 courses and hundreds of videos across six learning paths on ThoughtSpot University. We build enablement content for external customers: business users, business analysts, data experts, and administrators.
Migrating a NeoLoad Project to OctoPerf With an AI Agent
Migrating a load testing project is rarely hard. It is long, and easy to abandon halfway. OctoPerf 17 ships a NeoLoad migration playbook for AI agents. Real prompts, real output, project downloadable. Target: JPetStore, our public MyBatis demo shop. Every step is reproducible. One User Path, split Init / Actions / End, six containers walking a purchase. Around them: Download it to follow along.
Guardrails, not gatekeepers: unlock Kafka self-service for developers
The standard approach for Kafka in enterprise environments is to lock it down and have engineers file tickets. Platform teams do that because traditional engineering tools (CLIs, UIs and native ACLs) have no enterprise governance, so you cannot grant access you can scope, revoke or prove later. That’s the Kafka ticket desk: the week is access requests instead of platform work, engineers wait days to ship and Kafka adoption scales only as fast as the ticket queue moves.
How We Use AI to Smoke Test True Production Insights
Every testing vendor says "AI-powered" now. Fewer of them can show you the actual verification pipeline underneath that claim: what gets checked, what gets trusted without checking, and what happens the moment something breaks. This is that pipeline, as I run it against True Production Insights, formerly known as TrueTest, every time we ship a change to it.
AgentSpot for Product - Release Notes Workflow
Watch how AgentSpot builds a Release Notes workflow that checks GitHub every morning for new staging releases, gathers the merged PRs behind them, rewrites the whole lot into benefit-first, jargon-free release notes, and publishes them as a Slack Canvas with a short summary posted to your channel, so your team learns what shipped without anyone hand-writing it. What is AgentSpot? AgentSpot is an Agentic Workforce Platform for building workflows that make decisions, take action, and deliver results across every system your business runs on, grounded in your data.
AgentSpot for Product - Opportunity Planning Agent
Watch how AgentSpot builds an Opportunity Planning Agent that reads your validation brief in Confluence, queries your GTM and product models in ThoughtSpot for the evidence behind it, weighs the build options against real pipeline and roadmap themes, and publishes a decision-ready brief with a named bet, a priority call, and a now-next-later path, so your next planning cycle starts from evidence instead of opinion.
AgentSpot for Product - Product Discovery
Watch how AgentSpot builds a Product Discovery Agent that reads support tickets, sales calls, Slack threads, CRM notes and product analytics, clusters what customers keep raising into ranked themes, and hands your PMs the pattern, the accounts affected, the evidence behind it and what to do next. What is AgentSpot? AgentSpot is an Agentic Workforce Platform for building workflows that make decisions, take action, and deliver results across every system your business runs on, grounded in your data.
Every AI Agent Needs an Owner | DreamFactory Agent Control Plane
An agent in your stack reads tables and spends tokens. That has to land on a person, a department, a cost center. DreamFactory maps the agent onto an identity you already have: LDAP, OpenID Connect, SSO. Access and cost follow that person.