CrewAI Flows Event-Driven Agent Orchestration Explained
Why it matters: CrewAI Flows explained: how start, listen and router decorators turn improvising agents into deterministic, resumable workflows you can actually audit.
Sanksshep Mahendra
Sanksshep Mahendra is a technology executive with success in driving, vision, strategy, design, and execution of software engineering for the web, mobile, apps, social, voice, IoT, applications along with Machine learning and AI. His expertise lies in partnering with business leaders, powering through roadblocks, and leading global teams to deliver disruptive products that advance the organization’s mission and capture game-changing results in the market. Sanksshep Mahendra has a lot of experience in M&A and compliance, he holds a Master's degree from Pratt Institute and executive education from Massachusetts Institute of Technology, in AI, Robotics, and Automation.
Embedded AI in Enterprise Software: What It Changes
Why it matters: Embedded AI is already inside your CRM and ERP: see what changes for governance, cost, and daily work before your next vendor renewal.
Generative AI Cost Per Token Trends and Budgeting
Why it matters: Token prices fell 90%+ since 2023, but AI bills keep rising. See 2026 pricing data, budgeting frameworks, and the fixes that cut spend 30-70%.
Microsoft Agent Framework vs OpenAI Agents SDK Comparison
Why it matters: Microsoft Agent Framework or OpenAI Agents SDK? Compare orchestration, state, guardrails, sandboxes, and cost with real code, case studies, and a fit finder.
Google ADK 2.0 vs LangGraph for Multi-Agent Orchestration
Why it matters: ADK 2.0 or LangGraph? See which wins on state, human approval, cost, and risk, with side-by-side code, real case studies, and a decision framework.
Agentic AI Adoption Statistics 2026
Why it matters: Agentic AI adoption statistics 2026: 62% deploy agents, 40% scale them, and Gartner sees over 40% of projects canceled. See what to trust.
Pydantic AI vs LlamaIndex Workflows for Production Agents
Why it matters: Pydantic AI or LlamaIndex Workflows? Compare durability, human approval, evals and real customer results before you commit your production agents.
On-device AI Agents With Google ADK for Kotlin
Why it matters: Build on-device AI agents with Google ADK for Kotlin: compare LiteRT-LM, Gemini Nano, and Firebase, run the latency math, and ship safely.
Reasoning Models Explained: How They Think Before Answering
Why it matters: Reasoning models explained: how they think before answering, what thinking costs, and where they fail. Learn when to use one.
Context Engineering for LLM Agents
Why it matters: Agents fail when their context fills with noise. Get the write, select, compress, isolate playbook, real token data, and a free planner to cut cost and errors.