Flagship Ad-Tech Engine
Native, Session-Aware Ad Tech for LLM Interfaces
Core Solution: Monetize AI chatbot sessions directly with contextual, intent-matched offers instead of invasive, low-signal display banners.
Adjacent tools, grant execution engines, and non-developer build studies powered by the same framework. Each property below is a live site, not a mockup.
Unit Economics & Token Margin Optimization
Track prompt usage, API costs, and token leakage in real time to protect LLM app profitability.
Try Margin Calculator →Building on OpenAI, Anthropic, or open-source models introduces unpredictable token usage. Convomargin audits prompt structures and calculates gross margins per user session.
U.S. Federal & State Grant Advisory
Plain-English execution for Israeli founders securing U.S. Federal non-dilutive grants (like SBIR) and Federal/State tax compliance.
Explore U.S. Grants →Israeli tech startups expanding to the U.S. must navigate strict Federal regulations, Schedule C filings, and Form 8858 rules without getting bogged down in legal jargon.
The Non-Developer Build Story
A real-world case study on rebuilding a high-performance visual portfolio using Cloudflare Pages, Cursor, and modern AI workflows.
View Portfolio Case Study →Demonstrating practical low-code engineering: deploying static assets on Cloudflare Pages, maintaining fast load speeds, and managing structured content via LLMs without traditional code clutter.
Three lines in your chat handler. You pass the session context, you get back a labelled offer or nothing at all. No client-side script, no cookies, and your API key stays server side.
import { getAd } from "@prismpublication/sdk";
const offer = await getAd({
apiKey: process.env.PRISM_API_KEY,
format: "card",
context: { topic: userMessage },
});Returns null when nothing relevant matches, so a quiet session stays quiet.