Strides lets product managers and founders ship a fully autonomous AI feature without writing a single line of AI code. One script tag. Live before end of day.
What You Get Without Filing a Single Ticket.
Strides handles everything the engineering team would have spent months on.
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.
Why AI Features Get Stuck in Engineering Backlogs — and How to Ship Anyway
The typical path for a product team that wants to ship an AI feature: the PM writes a spec, the spec goes into the backlog, engineering estimates it at 8–14 weeks, the sprint planning meeting deprioritizes it three times, six months pass, a competitor ships theirs, and the feature finally gets picked up. By the time it launches, the competitive window has narrowed and the team has already pivoted the spec twice.
The delay isn't laziness — it's the genuine complexity of the engineering work. Choosing a model provider, building retrieval infrastructure, implementing context management, designing the action layer, handling streaming, ensuring tenant isolation, managing costs, and maintaining everything as the product evolves is a real multi-quarter project. Engineering teams aren't wrong to estimate it that way.
Strides Build removes that dependency entirely. The AI feature installs via one script tag — no AI engineering required, no architecture decisions, no months of work. A product manager, a founder, or even a customer success lead can install it, configure the AI's scope and persona, and have live AI in the product before the next standup.
The features you get without writing a single line of AI code: context-aware responses grounded in each user's live account data, action execution via your existing APIs, streaming responses with sub-200ms TTFB, 100% white-labeled under your brand, strict multi-tenant data isolation, and an analytics dashboard showing usage and performance. These are the features an engineering team would spend a quarter building. Strides ships them in an afternoon.
The strategic unlock is speed-to-market. Being first to ship an AI feature in your category creates a perception advantage that's difficult for competitors to overcome — even if they eventually build something technically equivalent. Customers who adopted your AI feature first become advocates for it, and the switching cost of moving to a competitor's equivalent feature is real.
Frequently Asked Questions
Do I really not need any engineering involvement?
For the standard installation, no. A non-technical team member can paste the script tag, configure the AI's scope via the dashboard, and have the feature live. Engineering gets involved if you want to extend beyond the defaults — custom API permissions, custom UI embedding, or webhook integrations.
What does "configure the AI's scope" mean?
You define what the AI is allowed to discuss (your product specifically, or also general topics), which API actions it can take, what its name and persona are, and whether it should be proactive or reactive. This is done through a dashboard UI, not code.
Can I launch this to all users at once or do a gradual rollout?
Both are supported. You can enable the AI for all authenticated users immediately, or roll it out to a percentage of users, specific user segments, or specific accounts. The rollout logic is controlled from your dashboard.
What if my product team doesn't own the install process?
The script tag is typically added to the product's base HTML template — a one-line change that takes a developer about 2 minutes. It doesn't require any product architecture changes or API modifications.
How do I measure the impact of the AI feature?
Strides provides a built-in analytics dashboard showing usage volume, user satisfaction signals, most common queries, action success rates, and support ticket deflection estimates. You can also export raw interaction data to your analytics stack.
What happens if I want to customize beyond the standard configuration?
Strides exposes an API and webhook system for deeper customization. You can inject custom context, intercept and modify responses, add custom UI elements around the widget, and integrate with your own analytics and monitoring tools.