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Prithvi

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Prithvi

Prithvi Bharadwaj writes about AI, enterprise software, and the changing nature of work. At Libra, he focuses on making complex ideas around AI agents, company knowledge, and workplace automation easier to understand and more useful for the teams actually building and using them. His work explores how AI can move beyond answering questions to understanding context, connecting systems, and getting real work done

Articles by Prithvi

A complete guide to agentic AI platforms, how they differ from traditional AI, the use cases that work, evaluation criteria, deployment models, honest limitations, and how the main platforms compare.
Technical

Agentic AI Platforms: What They Are, How to Evaluate Them, and Where They Break

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Learn how AI agents for customer support work, what to automate first, how to choose a platform, and how to manage implementation, security, and performance.
Technical

AI Agents for Customer Support: How They Work, What to Automate, and How to Choose

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Learn what context engineering is, how it differs from prompt engineering, its four core patterns, common failure modes, and how enterprises can apply it.
Technical

Context Engineering: The Discipline That Decides Whether Your AI Works

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Learn how to structure AI agent workflows with clear goals, scoped tools, human checkpoints, explicit failure handling, and output contracts. Explore common workflow patterns, multi-agent designs, and a practical rollout approach.
Technical

AI Agent Workflows: How to Structure Work an Agent Can Actually Finish

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Learn how to build a customer service knowledge base that answers real customer questions, stays accurate, and reduces support tickets through better content and maintenance.
Technical

Customer Service Knowledge Base: What to Build and What to Skip

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Compare enterprise knowledge management software by category, security, connectors, governance, pricing, and deployment to choose the right approach for your organisation.
Technical

Enterprise Knowledge Management Software: A Buyer's Guide for 2026

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Compare support knowledge base software for customer self-service and internal agent support, including Zendesk, Intercom, Freshdesk, Document360, Guru, Notion, and Libra.
Technical

Support Knowledge Base Software: How to Choose in 2026

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Technical

What Are AI Agents? A Plain-English Explanation

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An AI workspace gives AI persistent access to company context, tools, and workflows. Learn what defines the category and how to evaluate one.
Case studies

What Is an AI Workspace? The Category, Explained

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Learn how enterprise AI search works, how it differs from traditional enterprise search, and what to evaluate around accuracy, permissions, freshness, and citations.
Technical

Enterprise AI Search: How It Works and How to Evaluate It

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Technical

Information Silos: Why They Form, and Why Reorganising Your Tools Won't Fix Them

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Tribal knowledge is the expertise companies rely on but rarely document. Learn why it stays undocumented, what it costs, and how AI can help surface it.
Technical

Tribal Knowledge: What It Is and Why It Never Gets Written Down

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If you're evaluating what an AI agent can actually do inside a business, see AI Agents for Business: Where They Work and Where They Don't.
Technical

Agentic AI vs AI Agents: What's Actually Different

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Discover what an AI email assistant does, how it uses context to draft replies, and where human approval should remain in the email workflow.
Tutorials

What an AI Email Assistant Actually Does (and Where It Should Stop)

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Learn how AI workflow automation differs from traditional workflow automation software, when to use each, and how AI workflows handle unexpected cases.
Technical

AI Workflow Automation: How It Differs From Rule-Based Automation

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Learn how enterprise search software connects company data, retrieves relevant information, and where search falls short compared with AI answer layers.
Technical

Enterprise Search Software: What It Does and What It Cannot Do

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An internal knowledge base is a private, permission-controlled repository of the information employees need to do their jobs
Case studies

Internal Knowledge Base: What It Is and Why Most Go Stale

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Libra treats governance as part of the product architecture rather than as a policy document sitting outside the agent
Technical

AI Agent Governance: A Practical Framework for Enterprise Rollout

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Libra supports managed cloud, private VPC and fully self-hosted deployment for enterprises.
Technical

AI Agent Security: The Real Risks and How Enterprise Buyers Should Evaluate Vendors

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Abstract halftone artwork in red, orange and yellow fading into teal.
Technical

Enterprise AI Agents: Identity, Accountability, and What It Takes to Run Them

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The best AI assistants will increasingly blur the line between "assistant" and "agent."
Technical

AI Assistants: What They Are, How They Work & Use Cases

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Knowledge-based software is software that uses structured or unstructured knowledge to help people make decisions, answer questions, complete tasks, or execute workflows.
Technical

Knowledge-Based Software: What It Is & How It Works

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Agentic process automation is a form of business process automation where an AI agent decides and executes steps dynamically rather than following only a fixed sequence of predefined rules.
Technical

What Is Agentic Process Automation? How AI Agents Change Business Workflows

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Libra Knowledge Base is a natural-language interface that pulls together information from the tools your company already uses.
Technical

What Is a Knowledge Base? AI Knowledge Management Guide

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AI Coworkers Are Only Helpful If They Can Work Across Your Business Systems. Libra Changes That
Technical

AI Coworkers and Business Systems: From Data to Action

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The right AI knowledge management platform depends on which problem you have
Technical

Best AI Knowledge Management Platforms in 2026

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The future of work is determining which aspects of the work should fall under each's purview and clearly outlining the handoff between them.
Technical

Human + AI Coworker Workflows: How Teams Should Divide Work

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Libra connects the tools your company already uses and enforces permissions per user at retrieval on every one of them.
Technical

What Integrations Does an Enterprise AI Assistant Actually Need?

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Libra is the context layer. It connects the tools your company already uses, enforces permissions on every retrieval, and serves context to people, workflows, and agents from the same index.
Technical

Enterprise Search vs RAG vs AI Agents vs Company Brain

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How Autonomus Agents Move Forward
Technical

Permission-Aware AI: Access Control for Enterprise AI

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BYOC for Enterprise AI: the deployment option between vendor cloud and on-premise
Case studies

BYOC for Enterprise AI: Cloud vs On-Prem Explained

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What is a company brain: definition, components, and the tools that offer one
Technical

What Is a Company Brain?

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The four layers of an agentic AI system
Technical

Agentic AI Architecture: Core Components Explained

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Most lists of agentic AI companies are ranked. Ranking is the wrong shape for this market
Case studies

Agentic AI Companies to Know in 2026

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the five criteria that actually decide these purchases, the questions that separate a platform from a demo, and how to design a pilot whose result predicts production.
Technical

The Best AI Agent Platform in 2026: How to Actually Run the Evaluation

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A platform provides the foundation for building and managing multiple AI capabilities. It should support repeatable deployment, shared controls, integrations, administration, and evaluation.
Case studies

Enterprise AI Platforms: 2026 Buyer’s Guide

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An AI agent is software that uses a model to pursue a goal across one or more steps. It typically combines six elements
Tutorials

How to Build an AI Agent: A Step-by-Step Guide

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AI orchestration is the management of the steps, resources, and controls required for an AI system to complete a task.
Technical

What Is AI Orchestration? A Clear Explanation

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Technical

AI Agents for Marketing: Use Cases and Practical Applications

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Case studies

What Are AI Sales Agents? Use Cases, Benefits & Examples

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Case studies

Cloud vs. Self-Hosted AI Agents: Key Differences Explained

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Technical

Autonomous AI Agents: How They Work, Architecture, and Enterprise Use Cases

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