Your customers should be able to prompt your product, not learn it.
Just like you give tasks to Claude and ChatGPT, your users should be able to describe what they want and have it done, inside your product. Built for B2B SaaS.
Five outcomes you can put a number against.
Every demo is live code running in your browser. The figures are published industry research on what that work costs today.
Faster onboarding
The agent pre-fills the first screen and sends invoice #1001 in the first session.
Source: Wyzowl & Sixteen Ventures onboarding research.
Book a demoFaster migration
One drag, and the agent maps every legacy column onto your schema.
Source: Lido & Ardent Partners data-entry research.
Book a demoAnswers in the flow
Half a question in the search bar becomes the task finished in place.
Source: HDI & Nucleus Research service-desk benchmarks.
Book a demoDocuments into data
Drop a PDF and every field comes back checked against the PO.
Source: IOFM & Ardent Partners AP benchmarks.
Book a demoAudit trails that write themselves
Every approval writes its own log entry, reasoning attached.
Source: Vanta & AICPA compliance surveys.
Book a demoWhat your product
can now do.
The moment the expert AI agent is live, your users level up. Three core capabilities they suddenly gain, right inside your product interface.
Finish the whole job, not one step.
Your users hand off a goal and get it done. The expert runs every step to the finish, in the flow.
Days of work, done in minutes.
Tasks your users take days to learn happen the moment they ask. Speed becomes the default.
Always the best-practice way.
Every task done the way your best user would do it. Expert output, every time, for everyone.
An expert for your
most valuable workflows.
Wherever your users do real, multi-step work, the expert does it with them. Live in these verticals today, with more on the way.
construction-tech
Auto-generate submittals from site photos.
Built for construction tech platforms, not the field crew. One SDK runs the workflow end-to-end inside your product. You operate no new infrastructure.

Three steps
to a smarter product.
Retrieval, evals, and observability ship with the SDK. Your team maintains none of it, and adds zero new infra to operate.
Book a demo20-min demo · No commitment
Drop in the SDK.
One install. No new infra to operate.
It learns your product.
Point it at your schemas, docs, and stages. Evals ship with the SDK.
Go live inside your product.
Side panel, inline, or modal. Themed to your app, right where users work.
Book a demoThe first thing your
users reach for.
They reach for the expert because it gets the job done faster and better than doing it by hand. That is what drives adoption.
Book a demoYour numbers,
built in.
Adoption, completion, and time saved, by workflow and tenant. Complete visibility into your agent's impact, right out of the box.
Book a demoOutcome analytics built in.
Adoption, completion, and time saved, by workflow and tenant.
Schemas, stages, clauses.
Knows your data model and the best-practice way to do each task.
Inline, side panel, modal.
Themed to your app, meeting users right where they work.
Ship behind a flag.
Live inside your product in days.
In every AI agent
your users already use.
Your users live in Claude, ChatGPT, and Cursor. We give your product a managed MCP server, so they can get its work done from wherever they already are. You ship one connection. We run the rest.
We run the MCP server.
Hosting, auth, and the tool design are ours. You connect your product once.
Your actions, agent-ready.
Your workflows become clean, safe tools any AI agent can call and finish.
Evals and updates included.
We keep the tools, schemas, and guardrails current as your product grows.

Right inside your product, where your users already work.
Book a demoNotes on production AI &
LLM infrastructure.
Cost optimization, routing, self-hosting, and production AI architecture. Practical guides from the team at Ginger Labs.
View all posts→Best LLM API Providers with ZDR and privacy
Compare LLM API providers for Zero Data Retention (ZDR) and privacy, detailing what ZDR covers, exceptions, and how to verify it.
GLM 5.3 Flash vs Claude Opus vs GPT 5.6: What can this open source model do
Compare GLM-5.3-Flash with Claude Opus and GPT-5.6 on coding, agentic tool use, reasoning benchmarks, and 1M-token pricing.
Safe ways to use Chinese AI models in your apps
Learn safer app deployment for Chinese open-weight AI models by choosing inference channels that match your data sensitivity and compliance needs.
Frequently
asked questions.
Everything you need to know about putting a domain-expert agent inside your product.
Book a demoSee the expert
do your work.
Bring your most valuable workflow. We'll run it live, right on the call. We put the expert to work in a sandbox of your product.



