Forhu Projects — SCL in Action
SCL in Action.
Witness the transformation of raw cognitive architecture into world-changing applications. From creative hubs and legal intelligence to AI-powered travel.
These are products we are actively building right now.
Chumme
A revolutionary social ecosystem for artists and creators, utilizing SCL architecture to foster authentic community engagement and creative autonomy.
Demonstrates SCL's ability to manage complex social dynamics and creative workflows while maintaining human-centric values.
I Love Lawyer
An intelligent legal research platform that applies recursive cognitive loops to analyze Philippine jurisprudence, providing unprecedented clarity to legal professionals.
Applies the Structured Cognitive Loop to complex, high-stakes decision-making in the legal domain.
CheapestGo
A travel booking app that finds and books the cheapest flights and hotels in one place, with live prices visualized on an interactive map. Powered by Hey Cheap a conversational AI assistant that handles flight search, hotel booking, day-by-day itinerary planning, destination weather, booking management, and price alerts all through natural conversation.
Hey Cheap demonstrates SCL's multi-domain orchestration a single conversational thread that recursively reasons across flight data, hotel inventory, weather APIs, and user context to deliver coherent, actionable travel intelligence.
How SCL Powers Each Project
A technical breakdown of how each SCL layer contributes to real product decisions.
Chumme
The Problem
Traditional social platforms optimize for engagement metrics at the expense of creator wellbeing. Algorithmic feeds amplify content that provokes reaction, not content that reflects authentic creative expression. Artists on these platforms are caught between the platform's incentive structure and their own creative integrity.
SCL Layers Used
The SCL Solution
Chumme uses SCL to build a community engagement engine that evaluates creative content against a Metaprompt encoding artistic values — not virality metrics. The Judgment layer weighs each piece of content against community standards defined by artists, not ad-tech teams. The Memory layer tracks creator trajectories over time, ensuring the platform serves long-term creative growth rather than short-term engagement spikes.
Outcomes
- •Recommendation system driven by creative intent, not reaction metrics
- •Content moderation governed by community-defined values in the Metaprompt
- •Creator memory: the platform remembers what a creator is building toward, not just what performed well
- •Hallucination governance applied to AI-generated creative suggestions — preventing repetitive, homogenized output
I Love Lawyer
The Problem
Legal research in the Philippines requires navigating decades of jurisprudence, often inconsistently indexed and difficult to cross-reference. Legal professionals spend hours finding relevant precedents, and AI tools that hallucinate legal citations cause serious professional risk. Trust is non-negotiable in a legal context.
SCL Layers Used
The SCL Solution
I Love Lawyer applies the full SCL stack to legal reasoning. The Metaprompt encodes the constraints of Philippine law — jurisdiction, citation standards, and professional ethical requirements. The Judgment layer evaluates every case reference against the Memory layer's database of verified jurisprudence before any citation is surfaced. The Control layer cross-checks outputs against known hallucination patterns, flagging any citation that cannot be verified before it reaches the lawyer.
Outcomes
- •Zero unverified citations — every result is cross-referenced against a structured jurisprudence database
- •Reasoning traces for every recommendation — lawyers can audit the AI's logic before relying on it
- •Persistent memory of case context across sessions — the platform builds understanding of a case over time
- •Hallucination governance purpose-built for high-stakes legal use: errors are logged and prevented from recurring
CheapestGo
The Problem
Travel booking is fragmented across dozens of platforms, each requiring separate searches for flights, hotels, weather, and itineraries. Travelers spend hours cross-referencing prices and logistics across multiple tabs — a frustrating, time-consuming process with no unified place to plan, compare, and book a complete trip.
SCL Layers Used
The SCL Solution
CheapestGo's Hey Cheap assistant applies SCL to unify the entire travel planning journey in a single conversational thread. The Metaprompt encodes the traveler's destination, budget, travel dates, and preferences as a persistent context frame. The Judgment layer evaluates live flight and hotel data against the user's stated criteria before any option is surfaced. The Memory layer retains full trip context — when a user asks about weather after selecting a flight, Hey Cheap already knows the destination, dates, and current booking state. The Control layer validates all prices and availability data in real time, preventing hallucinated fares or unavailable itineraries from reaching the traveler.
Outcomes
- •Live price data validated before every recommendation — no hallucinated fares or phantom availability
- •Full trip memory maintained across the conversation: destination, dates, budget, and preferences persist from search to booking
- •Multi-domain orchestration: flights, hotels, weather, day-by-day itineraries, and price alerts managed within a single thread
- •Itinerary generation grounded in actual booking data — not generic travel templates
- •Price alert system driven by structured user intent, not keyword matching
Want to build with SCL?
Read the research or get in touch to explore how SCL can apply to your domain.