The Marketing Outcome Engine for Marketing Engineers,
run with agents.

Describe how your marketing runs. Prism’s agents build the software and run it for you.

Features

Software cut to the shape
of your work

Your methods, your rules and your daily routines, turned into software your whole team runs on.

Agents that build to spec

Agents that build to spec

Describe a workflow in plain English. AI agents build the data, logic and screens around it.

  • Plain English in, working app out
  • Writes & runs SQL, builds charts & tables
  • Connects to warehouses, SaaS tools & files
Skills

Skills

Your best analyst’s method, captured once and reused by every agent on every dataset.

  • Turn your own workflows into Skills
  • Share with your team or publish
  • Start from community-proven Skills
Context Notes

Context Notes

Your definitions, naming quirks and business rules, remembered so every agent starts informed.

  • Map business terms to technical definitions
  • Shared across sessions and teammates
  • Nobody re-explains anything
Marketing brain, pre-installed

Marketing brain, pre-installed

Trained on GA4, BigQuery and paid-media workflows, so agents speak marketing from day one.

  • Match values across ad platforms
  • Parse complex naming conventions
  • Spend-response curves per campaign group
Agents that pull the lever

Agents that pull the lever

Agents check pacing, draft budget moves and, once approved, push them to Google Ads and Meta.

  • Limits you set; bigger moves wait for sign-off
  • Every change confirmed and logged
  • Updates to Slack, email & Teams
How it works

Builds around
how you work

Three steps take you from the data you already have to software your team runs every day.

1

Connect your data

Link your warehouse, SaaS tools or spreadsheets. Prism maps every schema and keeps each table fresh.

2

Describe your workflow

Say it in plain English: “Every morning, move budget to the campaign groups behind plan.”

3

Prism agents build your app

They build it while you watch. Marketing engineers refine it anytime by asking for changes in the chat.

Integrations

Data comes in. Actions go out.
Workflows run it end to end.

Connect the sources you already use and the platforms you already run. Prism’s workflows carry every step, from data to action.

Connections in

Your data flows in from the warehouses, files and marketing platforms you already use.

Connections out

Approved actions go straight back to the platforms and channels your team works in.

Workflows

Workflows run the whole process, from the data coming in to the actions going out.

Podcast

Knowledge Distillation

How marketing work is being rebuilt, one agent at a time: conversations with analysts, engineers and the people who own the budget.

Johan van de Werken (Superform Labs, GA4Dataform, Select Star, Simmer) on Why Trust Starts at the Data Layer, Knowledge Compiled as Code, and the Hidden Cost of AI-Written BigQuery Queries #18
Oct 5, 2026

Johan van de Werken (Superform Labs, GA4Dataform, Select Star, Simmer) on Why Trust Starts at the Data Layer, Knowledge Compiled as Code, and the Hidden Cost of AI-Written BigQuery Queries

Kelly Wortham (Forward Digital, Test & Learn Community, Experimentation Island) on Why Agentic Commerce Breaks Experimentation, Measuring What Visitors No Longer Do, and Optimizing for Machines #17
May 19, 2026

Kelly Wortham (Forward Digital, Test & Learn Community, Experimentation Island) on Why Agentic Commerce Breaks Experimentation, Measuring What Visitors No Longer Do, and Optimizing for Machines

Gal Rapoport (Kahoona, Amazon, AWS Inferentia) on Digital Body Language, Why Agentic Commerce Needs a New Web, and How to Derive Intent from Anonymous Traffic #16
Apr 27, 2026

Gal Rapoport (Kahoona, Amazon, AWS Inferentia) on Digital Body Language, Why Agentic Commerce Needs a New Web, and How to Derive Intent from Anonymous Traffic

View All Episodes →
Blog

Field notes

What we learn building software around how marketing teams really work.

Agentic Commerce: Notes From the Construction Site
April 29, 2026 · Katrin Ribant

Agentic Commerce: Notes From the Construction Site

Specs, Not Vibes: What I Told Digital Analysts About Engineering’s AI Agent Revolution
April 2, 2026 · Avigad Oron

Specs, Not Vibes: What I Told Digital Analysts About Engineering’s AI Agent Revolution

Delete Chat? Your Data Stays Anyway
February 10, 2026 · Katrin Ribant

Delete Chat? Your Data Stays Anyway

View All Posts →
FAQ

Frequently asked questions

What is Prism by Ask-Y?

Prism by Ask-Y is the marketing outcome engine for marketing teams: an end-to-end data analytics platform combining data management, analysis, predictive models, AI applications and automation. It remembers users’ preferences and the team’s business logic, so your team can build on previous work as new questions arise.

Who is it for?

Prism by Ask-Y is for marketing teams, including non-technical marketers, marketing engineers and analysts. Marketers can ask questions, connect to, clean, organize and analyze data, and build applications in plain language, without waiting for a technical colleague to write every query or prepare every report. Technical users can develop deeper models and methods, while the team shares work and manages access to data, business context and applications.

Engagements extend that work to colleagues, leaders and clients through personalized briefings by email, Slack or Microsoft Teams, with the detail, format and schedule tailored to each recipient.

What can I build?

Prism by Ask-Y supports the full journey from raw data to shared AI applications. It can manage your data and ETL processes: bringing data in, cleaning and transforming it, combining sources and creating reusable models. Present and share the results through hosted and managed applications with interactive analytics, predictions and contextual chat, and connect the analysis to action through workflows.

With Engagements, you can deliver personalized briefings and interactive reports to stakeholders. Prism Orchestra coordinates people, agents, reviews, decisions and follow-up around shared project goals.

Campaign performance, funnel analysis, budget allocation, demand forecasting and customer retention are just a few examples. You can build around the data, business logic and decisions that matter to your team.

Do I need to write code?

No. You can connect to data, clean and organize it, ask analytical questions, build applications and set up recurring work in plain language with Prism by Ask-Y. Technical teams can also work directly with SQL and Python to refine data models, calculations and predictions.

How is Prism different from a general AI assistant?

Prism by Ask-Y connects data preparation, analysis, predictive models, hosted applications and team coordination in one platform. Your data, business context and reusable methods stay available as the team moves from a question to a shared application, recurring analysis or coordinated project. Agents, Engagements and Orchestra connect that work with stakeholder participation and action.

See all questions →
The Marketing Outcome Engine

The Marketing Outcome Engine.
Builds around how you work.