Blog
Insights on in-app AI support
Guides, best practices, and deep dives on building better support experiences inside your product.
RSS feed2026-05-14
Deep Dive
Native SDK vs WebView for In-App AI Support: The Real Numbers
App size, battery drain, context awareness, session persistence, and cost — a data-driven comparison of native SDKs and WebView-based support tools for mobile apps.
10 min read
2026-05-17
Deep Dive
Native SDK vs Web Widget: Why Embedded Support Wins
Context awareness, app size, battery drain, tool execution, and data ownership — a direct comparison of native SDKs and web widgets for mobile in-app support.
7 min read
2026-05-14
Tutorial
How to Add AI Support to Your iOS App in 15 Minutes
Step-by-step guide to embedding a native AI support agent in your iOS app with real Swift code, tool functions, and approval flows.
8 min read
2025-05-04
Best Practices
In-App Support Best Practices for Mobile Apps
How to design support experiences that actually resolve issues instead of just collecting tickets — right inside your mobile app.
6 min read
2025-04-28
Strategy
How to Reduce Customer Support Tickets with AI
A step-by-step tutorial for software teams: identify repeatable ticket patterns, add in-app AI resolution, define tool functions, and reduce customer support tickets without scaling headcount.
8 min read
2025-04-21
Guide
AI Customer Support for Mobile Apps: Complete Guide
Everything you need to know about implementing AI-powered customer support in iOS and Android applications.
10 min read
2025-04-14
Education
What Is an Embedded Support SDK?
Understanding the difference between embedded support SDKs, web widgets, and help center solutions for mobile apps.
5 min read
2025-04-07
Strategy
Customer Self-Service in Mobile Apps: Why It Matters
Why self-service inside your app is becoming the standard for mobile-first companies and how to implement it effectively.
7 min read
2026-05-15
Technical Guide
Operator Approval Flows for AI Agents: A Technical Guide
How to implement operator approval flows, trace logs, and policy controls in your AI support agent — with Swift code examples.
9 min read
2026-05-18
Tutorial
How to Add In-App AI Support to Your iOS App in an Afternoon
Step-by-step guide to embedding a native AI support agent in your iOS app with real Swift code, tool functions, and approval flows — 500KB, no web view.
9 min read
2026-05-19
Guide
Self-Hosted Customer Support AI with ResolveKit and Your Own LLM
Deploy ResolveKit on your own infrastructure, use your own LLM API keys, and keep every user message inside your network.
8 min read
2026-05-20
Strategy
Why Deflecting Support Tickets Isn't the Same as Resolving Them
Deflection metrics look good in dashboards and board meetings. But the tickets you deflect don't disappear — they just go somewhere you can't see. Here's the difference between moving issues around and actually fixing them.
7 min read
2026-05-21
Tutorial
How to Add In-App AI Support to Your Android App in an Afternoon
Step-by-step guide to embedding a native AI support agent in your Android app with real Kotlin code, tool functions, and approval flows — under 1MB, no WebView.
9 min read
2026-05-22
Technical Guide
How to Build an Operator Dashboard for In-App AI Support
The components of a production-ready operator dashboard — approval queues, trace logs, policy configuration, and resolution metrics for in-app AI support.
9 min read
2026-05-23
Technical Guide
How to Build Custom Tool Functions for Your AI Agent in ResolveKit
Define tool functions in Swift and Kotlin, attach approval policies, and teach your AI agent to take action inside your product — with the right guardrails.
9 min read
2026-05-24
Strategy
In-App AI Support Platform vs Custom Build: The Real Cost of Going Solo
Building your own in-app AI support agent sounds economical. The engineering time, maintenance compounding, and operational overhead tell a different story.
8 min read
2026-05-25
Technical Guide
How to Configure Approval Policies for Your AI Agent in ResolveKit
The three policy modes — autonomous, approval_required, and disabled — and how to configure them in Swift and Kotlin to control what your AI agent can do without human oversight.
9 min read
2026-05-26
Comparison
ResolveKit vs Decagon vs Intercom: Which In-App AI Support SDK Actually Ships?
SDK footprint, deployment model, operator control, and long-term maintenance — a direct comparison of the three platforms engineering teams consider for in-app AI support.
8 min read
2026-05-27
Guide
The Mobile App Support SDK Evaluation Checklist Engineering Teams Actually Use
The evaluation criteria that actually matter in production: SDK footprint, data ownership, operator controls, approval workflows, and vendor lock-in risks.
9 min read
2026-05-28
Guide
Open Source AI Support SDKs: What Teams Actually Deploy in Production
A realistic look at what engineering teams actually ship in production — covering open source vs. custom build tradeoffs, iOS vs. Android SDK landscape, and what 'production ready' actually means for in-app AI support.
9 min read
2026-05-29
Technical Guide
How to Troubleshoot Your In-App AI Support SDK: A Debugging Guide
A systematic debugging guide for ResolveKit — trace logs, tool call errors, approval flow issues, mock backend testing, and production monitoring strategies.
8 min read
2026-05-30
Deep Dive
How In-App AI Support Handles Sensitive Data: Privacy by Design
What data leaves the device, what stays on-device, and how operator controls give you governance over the entire flow — a technical breakdown of privacy architecture for in-app AI support.
9 min read
2026-06-09
Tutorial
How to Reduce Developer Support Tickets in Your Mobile App: A Tutorial
A practical tutorial for mobile app teams: map recurring developer ticket patterns, surface diagnostic context at the point of failure, and add an in-app AI layer to handle integration questions without human support.
8 min read