Strides Build is the AI SDK for SaaS products. One script tag. No engineers. Strides auto-discovers your app, maps your APIs, and deploys a fully autonomous AI for your users.
What the SDK Does After You Paste the Tag.
Everything happens automatically. No configuration. No AI engineers. No ongoing maintenance.
One-Script-Tag Install
Paste one line of code and walk away. Strides auto-discovers every page, route, and API endpoint in your app without any configuration.
Autonomous Actions
The AI doesn't just answer questions — it executes tasks. Draft an invoice, reassign a ticket, send a report — using your real APIs, in your real product.
100% White-Labeled
Your branding. Your product name. Your colors. Strides is permanently invisible. No "powered by" badge, no Strides mention anywhere in the UI.
Strict Tenant Isolation
Built for multi-tenant SaaS from day one. Every user sees only their own data. Zero cross-tenant bleed at the architecture level.
Live User Context
Strides queries your real APIs for each user's actual data in real time. No static snapshots. No generic answers. The AI knows exactly what's in their account right now.
Streaming Responses
Responses stream back via SSE the moment generation starts. Sub-200ms TTFB globally via our edge CDN. No loading spinners. No waiting.
From Script Tag to Live AI in 60 Seconds.
Step 01: Script tag loads
Fetched from our edge CDN in under 200ms. Nothing visible happens yet — no popup, no banner, no friction for your users.
Result: Loaded in < 200ms globally
Step 02: Auto-discovery begins
Strides crawls every page, every route, every API endpoint in your app. Zero direction needed. It maps your entire product in under 2 seconds.
Result: Full product map in < 2s
Step 03: Knowledge model built
Your data schema, business logic, user workflows, and API capabilities are mapped. The AI understands your product — what it can do and how to do it for each user.
Result: Complete product model built
Step 04: AI goes live for your users
Your users now have an AI that knows their account data, can answer their questions with real data, and can take real actions inside your product on their behalf.
Result: Live AI for every user
What Makes an AI SDK Different from Building AI Yourself
Building AI from scratch inside a SaaS product is a multi-month engineering project that most teams consistently underestimate. You need to choose and integrate a language model, build a retrieval layer to ground responses in your product's actual data, implement a context management system that understands each user's account state, design an action execution layer that translates AI decisions into real API calls, handle streaming, manage token limits, implement rate limiting and fallbacks, and maintain all of it as your product evolves. The engineering is non-trivial and the maintenance cost is ongoing.
An AI SDK abstracts all of that infrastructure behind a simple interface. Strides Build provides the full stack — language model orchestration, retrieval-augmented generation, context management, action execution, streaming, tenant isolation, and edge delivery — behind one script tag. The SDK handles the complexity; you get the AI feature.
What makes Strides Build specifically powerful for SaaS is the auto-discovery layer. Most AI SDKs require you to manually define what the AI knows and what it can do — you write schemas, build tool definitions, and configure endpoints. Strides crawls your application automatically, maps your routes, infers your data model from your API responses, and builds a complete knowledge model of your product without any configuration. The AI understands your product the way a power user would.
The action execution layer is where the real value emerges. Most in-app AI can answer questions. Strides can take actions — draft an invoice, reassign a ticket, update a setting, generate a report, send a notification — using your existing API endpoints. Users go from asking to doing in a single interaction, without navigating your UI.
The business outcome is an AI feature that genuinely improves product stickiness and reduces support load. Users who have access to an AI that knows their account, answers their questions accurately, and executes tasks for them are meaningfully less likely to churn and meaningfully less likely to file support tickets. The economics of the AI feature pay for themselves through support cost reduction alone.
Frequently Asked Questions
Does my engineering team need to do anything?
They paste one script tag. That's it. Strides handles discovery, learning, and deployment automatically. No API keys to manage, no endpoints to build, no models to fine-tune.
Does it work with any tech stack?
Yes. Strides is a JavaScript snippet that works in any web application, regardless of your backend language, frontend framework, or hosting setup.
How does it know what each user's data looks like?
Strides queries your existing APIs in real time for each authenticated user. It doesn't require a data sync or export — it reads from your live APIs the same way your product does.
What happens when I update my product?
Strides re-runs auto-discovery automatically when it detects changes to your routes or API responses. Your AI stays current without any manual update process.
How is user data isolated between tenants?
Strides uses architecture-level tenant isolation — every API call is scoped to the authenticated user's session. There is no shared context between users, and no possibility of cross-tenant data exposure.
Can the AI take actions in my product, or only answer questions?
Both. Strides can answer questions using real-time data from your APIs and execute actions — create records, update settings, trigger workflows — using your existing API endpoints. The action layer is enabled automatically from auto-discovery.
What does the AI look like to my users?
100% your brand. The AI widget uses your product's colors, fonts, and name. There is no "powered by Strides" badge anywhere in the interface. Your users see an AI that your team built.
How do I customize what the AI can and can't do?
You can configure action permissions — allowing some APIs for AI execution and restricting others. You can also define custom system prompts to shape the AI's persona, tone, and scope of assistance.