Garrett Scott
Head of Marketing
3
articles published
Garrett Scott is a marketing leader focused on go-to-market strategy for the AI and integration infrastructure space. He specializes in positioning technical products for two distinct audiences: AI-native companies building agentic systems, and established enterprises modernizing their stack around AI. His work centers on the infrastructure layer that connects products and AI agents to the tools and data they depend on, an area that has become foundational as agents move from demos into production. He brings a working understanding of how integration platforms enable agents to take real actions across systems, why reliable connectivity is a prerequisite for trustworthy AI, and how technical decision makers evaluate this category. Across his career he has led demand generation, messaging, and positioning at high-growth software companies, translating complex technical capabilities into clear value for developers and buyers. He combines hands-on fluency with the modern marketing and data stack with a strategic view of how the AI and integration markets are evolving.
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Articles by Garrett Scott
Engineering
Native Integration Maintenance Challenges
The cost of maintaining integrations is very hard to anticipate, but this article will shed some light on what you should expect.
Engineering
Challenges Building an Authentication Layer for Integrations
The real challenges of building auth for your SaaS product's native integrations: OAuth variability, multi-tenant scale, and OIDC confusion.
Comparison
What is a SaaS integration platform
SaaS integration platform can refer to any one of 3 different types of integration solutions. In this article, we walk through each solution type and how they uniquely address the integration challenge in the SaaS ecosystem.
Comparison
Top Embedded iPaaS Providers in 2026
The best embedded iPaaS platforms for product integrations, compared: Paragon, Nango, Workato, Tray, Prismatic, and Cyclr. Updated July 2026.
Comparison
Best API for Connecting AI Agents to External Tools and SaaS Apps
Compare 9 platforms — Composio, Pipedream, Nango, Merge, Paragon ActionKit and more — for giving AI agents tool-calling access to SaaS apps.
Integrations
I Need Integrations for Agents. What are My Options?
The four ways to give AI agents integrations: tool calling, RAG data ingestion, workflow builders, and bidirectional sync. Compared, with platforms for each.
Thought Leadership
Should I Buy an Integrations Platform or Build In-House?
Build integrations in-house when you need only a few simple, stable connections your team can maintain without pulling focus from the core product. Buy an integrations platform once customers request many integrations, maintenance starts eating engineering time, or missing connections slow sales and onboarding.
Engineering
How to Build Connectors for RAG
A RAG connector must authenticate securely with the source system, extract the right content, normalize it into a consistent format, preserve user and tenant permissions, and keep indexed data fresh over time.
Engineering
How to Optimize Tool Calling for AI Agents
Optimize AI agent tool calling with better tool design, simpler schemas, atomic tools, dynamic filtering, and evals, not just a bigger model.
Integrations
How Do I Receive Webhooks From Third-Party Platforms?
How to receive webhooks from third-party platforms: expose an endpoint, verify signatures, ack fast, dedupe, and process asynchronously, plus where it gets hard across many providers and how Paragon handles it.
Integrations
The Enterprise Guide to AI Agent Integration Infrastructure: Platforms, Tools, and Architecture in 2026
What AI agent integration infrastructure is, a reference architecture, the patterns to choose from, the real cost of building in-house, and how to evaluate a platform. A 2026 guide for engineering leaders.
Engineering
Migrate off a legacy iPaaS without disrupting customers
How to cut over from a legacy iPaaS or homegrown integration layer without breaking live customer connections: phased parallel-run, OAuth carryover, webhook dual-subscription, and a rollback plan.
Engineering
How to Keep RAG Data Fresh with Incremental Sync and Deduplication
How to keep RAG data fresh with incremental sync, stable chunk IDs, backfill correctness, and re-embedding cost control, per tenant.
Engineering
How to Handle OAuth Token Refresh and Expiry for SaaS Integrations at Scale
Every provider handles OAuth refresh differently. Manage token expiry, refresh token rotation, secure storage, and provider policy changes at scale.
