AI / Integrations

AI Inside
Your Product

We add search, generation, and assistants to software you already have, so they feel like part of the product.

What we add

In-app assistants

Chat and commands that know your data model and can do work in the product. Dusted's interview bot and content tools sit in the app, not beside it.

Generation in the workflow

Drafting, rewriting, images, or structured output where the user already works. SnackCanvas is a canvas editor with AI image generation built into the design flow.

Search and extraction

Retrieval over your content, or pulling structured fields out of messy input, ranked until the first result is the one they needed.

Production plumbing

Prompt management, caching, cost caps, fallbacks, and logs. The feature has to survive real traffic, not just a demo.

How a feature ships

01

Prototype on real data

A working slice against your actual records first. Model and architecture decisions happen looking at output, not slides.

02

Harden it

Evals, rate limits, cost budgets, and failure handling before you put it in front of customers.

03

Release behind a flag

A slice of users, with metrics attached. Widen when quality holds.

Related Work

Dusted

Social Network for Product Marketers

Nimble’s expertise has transformed my platform. From thoughtful brand work to creative, strategic product solutions, they find cost-effective ways to deliver exceptional quality. Above all, they’re trustworthy, dependable, genuinely good humans.
Elle Grossenbacher, Founder, Dusted
Referral Intelligence

Referral Intelligence

Referral Management SaaS

Nuance

Bespoke Software & Automation

"Nimble just "gets it". They're communicative, detail-oriented, and routinely improve on my raw ideas. Hire them if you need thought partners who do not just take orders. I've worked with many developers, but I reach for Nimble when the stakes are high."
Giovanni Segar, CEO, Nuance

Common questions

We already call the APIs. Why hire you?

Calling a model is the easy part. Retrieval quality, eval coverage, latency, and cost are where teams stall. That is the work we take on.

Can you work inside our codebase?

That is the default. We ship in your repo, follow your conventions, and leave your team able to maintain it.

What about data privacy?

We design to your rules: vendor agreements, self-hosted or local models when data cannot leave, and a clear map of what goes where.

Start with a conversation

Book a 15 minute call to explore what we can do for your business.

September 2026

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