Blog

Explore insights, tutorials, and updates from the Lexogrine team on AI, software development, and technology trends.

Find a story

Browse articles by category or search for specific topics.

Apple App Store Review 2026

Apple App Store Review in 2026: Requirements, Submission Gates, and What to Prepare Before You Submit

A practical guide to Apple App Store Review in 2026, covering recent guideline updates, App Store Connect submission gates, review notes, demo access, privacy disclosures, purchases, moderation tools, and checklist items to prepare before submitting your app.

Dominik PałkowskiDominik Pałkowski
Mobile DevelopmentGuidesReact NativeiOS
AI agents for SEO content creation in 2026

Leading AI agents for SEO content creation in 2026

Explore the leading AI agents for SEO content creation in 2026 through a market analysis based on publicly available sources, including vendor pages, pricing pages, product documentation, and public review signals. The article covers Jasper, Surfer, Writesonic, Frase, and MarketMuse, outlining workflow coverage, pricing structures, strengths, trade-offs, and the role of AI agents in research, drafting, refresh workflows, and publishing handoff.

Klaudia Chmielowska
AIMarketing
AI Agent in Ecommerce in 2026

Best AI Agent for Ecommerce in 2026

Choosing an AI agent for ecommerce in 2026 is harder than ever. This guide explains what an ecommerce AI agent is, where it can safely pull order and policy context, and where humans must approve actions like refunds or account changes. We compare five popular tools, including Intercom Fin, Zendesk AI, Gorgias AI Agent, Salesforce Agentforce, and Klaviyo K:AI, with pricing models, review themes, and security notes, then outline when a custom agent built with Lexogrine makes more sense.

Dominik PałkowskiDominik Pałkowski
AI AgentsEcommerceAI
Diagram of Google’s Always On Memory Agent with ingest agent, SQLite memory store, consolidation loop, and query agent.

Always On Memory Agent: what Google’s Memory Agent actually does

Always On Memory Agent is Google’s sample for building long-term memory into AI agents. This article explains how it works, including ingestion, structured memory storage in SQLite, consolidation, and query-time retrieval. It also shows the project’s limits, how it compares with managed memory services, and when it fits as a demo, starter pattern, or foundation for a production AI memory system.

Kacper HerchelKacper Herchel
AIAI AgentsTechnology
Call workflow map for a real estate voice agent from answering to CRM logging and human handoff

AI Voice Agent for Real Estate (2026): 5 popular, highly rated solutions

In 2026, real estate teams use voice agents to answer listing calls, recover missed leads, qualify buyers and renters, and book showings fast. This guide analyzes 5 popular, highly rated options (CallRail Voice Assist, Smith.ai AI Receptionist, Five9, Genesys Cloud CX, Amazon Connect), compares pricing styles and trade-offs, and shares a build vs buy path plus a practical evaluation checklist.

Klaudia Chmielowska
AI AgentsReal Estate
Taxonomy showing chatbots, copilots, tool-calling agents, and multi-agent systems

AI Agent Adoption Statistics in 2026

AI agent adoption statistics in 2026: the compilation of the most citable public signals on how companies deploy tool-calling, multi-step AI agents. It compares measured platform telemetry with self-reported surveys, separates pilots from production, and explains what each metric really measures. Useful for planning budgets, security controls, and build vs buy decisions.

Klaudia Chmielowska
AI AgentsAIStatistics
Workflow map for a healthcare admin agent: intake, retrieval, verification, tool actions, audit log, and human approval.

Best AI Agent for Healthcare in 2026

Lexogrine builds healthcare-focused software, so we analyzed the 2026 AI agent market for medical orgs. This guide defines safe, clinical-adjacent agents, maps the workflows where they win, and shortlists five top tools (Microsoft, Salesforce, ServiceNow, Zendesk, Google). It also includes a build vs buy guide and a practical evaluation plan that can be completed in weeks, not quarters.

Dominik PałkowskiDominik Pałkowski
AI AgentsHealthcare
OpenAI Swarm Multi-Agent Framework

OpenAI Swarm Multi-Agent Framework in 2026: What It Is, How It Works, and How to Use It

OpenAI Swarm is a minimalist multi-agent framework built around explicit handoffs between specialized tool-calling agents. This article explains Swarm’s core mental model, when it fits (and when it doesn’t), how to get started fast, and the production patterns that matter in 2026: tool boundaries, approval gates, evals, and an upgrade path to the OpenAI Agents SDK.

Kacper HerchelKacper Herchel
AI AgentsAIWeb Development
Diagram showing chatbot, drafting agent, and action agent roles in support

Leading AI Agent Solutions for Customer Support in 2026: What Works, What Breaks, and How to Choose

Leading AI Agent Solutions for Customer Support in 2026 is a practical guide to what holds up in production and what fails after the demo. It explains how support agents differ from chatbots, maps real support problems, and outlines evaluation criteria you can use day to day. It analyzes eight widely used tools with strengths, weaknesses, pricing approaches, and recurring review patterns, plus a 30-minute selection checklist and clear signals for when a custom build makes more sense.

Klaudia Chmielowska
AI AgentsCustomer Support