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Platform Blog
Deep dives into platform evolution, engineering standards, architectural decisions, and the intelligence systems that power Prismatic.
Implementing a Compliance-Grade Audit Trail in Elixir
Building an audit logging system with action tracking, IP logging, duration measurement, query patterns, and GDPR-compliant retention for regulatory compliance.
Building an Intelligence Platform with Elixir: Why We Chose the BEAM
The technical rationale behind building Prismatic Platform on Elixir/OTP: fault tolerance for 157 OSINT adapters, concurrency for parallel intelligence gathering, and the BEAM's unique properties for real-time analysis.
Kompletni pruvodce 141 OSINT adaptery platformy Prismatic
Komplexni prehled vsech 141 OSINT zpravodajskych adapteru v platforme Prismatic -- ceske registry, globalni hrozby, instituce EU, sankce a dalsi.
Designing a Toast Notification System with Alpine.js
Building a production notification system with Alpine.js: animation management, severity levels, action buttons, auto-dismiss, and LiveView integration.
The Complete Guide to Prismatic's 141 OSINT Adapters
A comprehensive overview of all 141 OSINT intelligence adapters in the Prismatic Platform β covering Czech registries, global threat intelligence, EU institutions, sanctions screening, and more.
Meta-Evolution: When AI Evolves AI
Exploring meta-evolution in Prismatic: how the platform's evolution system evolves itself, the role of genetic algorithms in quality improvement, and the philosophical implications of self-improving systems.
MCP Integration: Connecting AI to Real-World Tools
How Prismatic implements the Model Context Protocol to expose OSINT adapters, DD pipelines, and platform capabilities as tools that AI assistants can invoke directly.
From Monolith to 94 Apps: Our Migration Journey
The story of how Prismatic Platform evolved from a single Elixir application to a 94-app umbrella project. Decisions, mistakes, and lessons from 18 months of progressive decomposition.
Real-Time Dashboards: Chart.js with Phoenix LiveView
Building real-time dashboards using Chart.js with LiveView hooks, handling live data updates, D3.js fallback patterns, and MetaMask browser extension compatibility.
552 Autonomous Agents: Building an AI Workforce
Inside Prismatic's agent ecosystem: 552 specialized agents covering OSINT, security, development, evolution, and operations. How they register, coordinate, and evolve.
Demo Mode: Safe Showcasing for Intelligence Platforms
Building a deterministic demo system with simulation engine, DemoModeGuard, and environment-variable activation for safe platform demonstrations.
Self-Evolving Architecture: How Prismatic Improves Itself
Inside Prismatic's auto-evolution system: genetic algorithms for code quality, SEADF framework for autonomous development, and how the platform has evolved through 19 generations.
IR/PVM: Triple-Verified Investigation Reports
How Prismatic generates investigation reports with triple-source verification, evidence chains, structured templates, and confidence scoring.
Building and Deploying Elixir Releases
Complete guide to Elixir releases covering mix release configuration, runtime.exs, Docker multi-stage builds, Fly.io deployment, and hot upgrade patterns.
Seller-Side Dataroom: Streamlining M&A Documentation
How Prismatic's dataroom module manages sell-side M&A documentation with a 36-item bilingual checklist, role-based access control, approval workflows, and audit trails.
From Health Score to Production: The Deploy Pipeline
The three-phase production deployment pipeline: pre-deploy validation with quality gates and doctrine checks, deployment via Fly.io, and post-deploy health verification with smoke tests and performance checks.
Graph Databases in Elixir: KuzuDB Integration
Using KuzuDB as an embedded graph database for relationship data in Elixir. The prismatic_storage_kuzudb adapter, entity relationship modeling, Cypher query integration, and the DD relationship explorer.
Sparkline: Building a Content Analysis SaaS in Elixir
Inside Sparkline's NLP pipeline: sentiment analysis, entity extraction, topic modeling, and API integration for content intelligence at scale.
Configuration Management in a Large Elixir Umbrella
Managing configuration across a 94-app umbrella: compile-time vs runtime config, environment variables, application-specific settings, and avoiding common pitfalls.
Attack Surface Management: The Perimeter Module
The Perimeter module implements External Attack Surface Management (EASM) with security ratings, asset discovery, NIS2 compliance scanning, and vulnerability assessment. This article details the architecture and the LiveView dashboard.
The Decision Engine: From Data to Actionable Intelligence
Inside Prismatic's Decision Engine: a 6-stage pipeline that transforms raw OSINT data into scored recommendations with uncertainty estimation, hypothesis testing, and traceable reasoning.
Telemetry-Driven Development: Observability from Day One
The OTEL doctrine mandates observability as a first-class concern. This article covers :telemetry integration for GenServers, controllers, and LiveViews, span creation, metric collection, and the ErrorFeed real-time dashboard.
Concurrent Data Processing with Task, Flow, and async_stream
Practical patterns for concurrent data processing in Elixir using Task, Flow, and Task.async_stream for OSINT adapter queries, timeout management, and error isolation.
Hawkeye: Visitor Intelligence with Privacy by Design
Building a visitor analytics system with IP geolocation, browser fingerprinting, session tracking, and anomaly detection while maintaining GDPR compliance.
Automating M&A Due Diligence with Intelligence Technology
How Prismatic's DD module accelerates M&A due diligence: automated entity analysis, cross-registry verification, relationship mapping, and risk scoring for Czech and EU transactions.
Self-Healing Systems: OTP Supervision in Practice
OTP supervision trees are the foundation of self-healing software. This article covers the SupervisionIntrospector, RemediationRegistry, restart strategies, cascade failure prevention, and the lessons learned system that makes the platform smarter after each fault.
Building an Error Intelligence Pipeline in Elixir
How we built PatternTracker, ErrorFeedLive, and a real-time error deduplication system with PubSub streaming for production visibility.
Nabla Infinity: An Epistemic Confidence Framework for Intelligence
Inside the Nabla epistemic framework: how Prismatic quantifies certainty, decomposes uncertainty into epistemic and aleatoric components, and prevents intelligence analysts from overconfident conclusions.
Genetic Algorithms in Production: The MENDEL System
The MENDEL genetic algorithm system powers code evolution through trait encoding, fitness functions, crossover operators, and Darwinian selection. This article explains how production systems can evolve autonomously while maintaining quality invariants.
PlatformTruth: Dynamic Statistics as the Single Source of Truth
How PlatformTruth eliminates hardcoded metrics through filesystem scanning, ETS caching, claim validation pipelines, and dynamic health scoring.
SEADF: Self-Evolving Autonomous Development Framework
The SEADF framework for autonomous platform development: five-phase cycle (discover, plan, execute, validate, integrate), guardrails, and human review thresholds.
CER/NIS2 Compliance: Automating Czech Critical Entity Requirements
How Prismatic automates NIS2 and Czech ZKB compliance for critical entities: supplier vetting, employee screening, incident reporting, and evidence-based gap analysis.
Mycelial Networks: Bio-Inspired Software Architecture
How the Prismatic Platform models software evolution on fungal mycelial networks. Pattern propagation, domain-scoped broadcasting, cross-domain synthesis, and the mycelial-mendel fusion that drives autonomous platform improvement.
Mycelial Network Architecture: Bio-Inspired System Design
Bio-inspired mycelial network topology for cross-domain signal propagation, nutrient routing, pattern extraction, and adaptive load distribution in a distributed platform.
Structured Error Handling in Elixir: The ZERO Doctrine
A comprehensive guide to error handling strategies in Elixir covering ok/error tuples, with chains, specific rescue clauses, and why bare rescue is banned.
Czech Business Registry Integration: ARES, Justice, and Beyond
Czech government data sources like ARES, Justice.cz, and ISIR provide rich business intelligence data. This article covers API integration patterns, rate limiting, data normalization, and how these sources feed into the DD pipeline.
MENDEL: Genetic Algorithm System for Platform Evolution
How the MENDEL system uses genetic operators -- crossover, mutation, selection -- to evolve platform configurations, fitness evaluation, and generation tracking in Elixir.
Type-Safe APIs: Building Robust Elixir Type Systems
Elixir is dynamically typed, but the Prismatic Platform achieves strong type safety through comprehensive @type definitions, @spec annotations, and Dialyzer analysis. This article covers the platform's type architecture.
EASM: Automating External Attack Surface Discovery
How Prismatic Perimeter discovers and monitors an organization's internet-facing assets using DNS enumeration, certificate transparency, port scanning, and continuous monitoring.
CI/CD Pipeline Architecture for a 94-App Umbrella
GitLab CI/CD pipeline design for the Prismatic Platform: multi-stage compilation, doctrine validation, deploy gates, artifact management, and production deployment.
Pre-Commit Security Gates: Catching Vulnerabilities Before They Land
Every commit to the Prismatic codebase passes through 9 blocking pre-commit pillars and 17 CI doctrine checks. This article explains how ZERO, SEAL, PERF, HYGIENE, NMND, TACH, DOCS, DEPS, and RDME are enforced with grep scanning and mix tasks.
Hypothesis-Driven Investigation: Scientific Method for DD
Applying scientific methodology to due diligence: hypothesis generation, evidence evaluation, Bayesian updating, and structured analytic techniques
Data Processing Pipelines with Broadway
Building robust data processing pipelines using Broadway for batching, rate limiting, backpressure, and acknowledger patterns in due diligence and OSINT workflows.
Graph Database Patterns with KuzuDB for Entity Analysis
Using KuzuDB as an embedded graph database for entity relationship traversal, ownership chain analysis, Cypher-like queries, and visualization data generation.
Property-Based Testing: Beyond Unit Tests in Elixir
Property-based testing generates hundreds of random inputs to verify invariants that must always hold. This article shows how the TACH doctrine mandates property tests for pure modules and how StreamData generators work.
The OSINT Mesh: Multi-Source Intelligence Correlation
How Prismatic correlates intelligence across 157 OSINT adapters using graph analysis, confidence aggregation, and the mesh expansion pattern to discover hidden connections.
Full-Text Search with Meilisearch in an Elixir Platform
Integrating Meilisearch for full-text search: index management, faceted search, typo tolerance configuration, and glossary indexing for an intelligence platform.
Telemetry-Driven Development: Observability from Day One
How to build observable Elixir systems using :telemetry from the start, covering event design, span patterns, custom metrics, and the OTEL doctrine pillar.
Entity Resolution: Connecting the Dots Across Data Sources
Entity resolution is the process of determining whether two records from different sources refer to the same real-world entity. Prismatic uses fuzzy matching, the Nabla confidence framework, and KuzuDB graph relationships to resolve entities across OSINT sources.
Automated DD Report Generation with Evidence Linking
How Prismatic generates comprehensive DD reports with HTML rendering, evidence linking, confidence annotations, multi-language support, and export formats
Phoenix PubSub at Scale: Real-Time Event Architecture
Phoenix PubSub powers real-time features across the Prismatic Platform, from DD pipeline events to error pattern tracking. This article covers topic design, subscriber patterns, and handling backpressure at scale.
PostgreSQL and TimescaleDB Patterns for Intelligence Platforms
Database architecture patterns using Ecto schemas, TimescaleDB hypertables for time-series data, connection pooling strategies, and query optimization techniques.
Czech Business Registry Deep Dive: ARES, Justice.cz, and Beyond
A technical guide to querying Czech business registries programmatically. Covers ARES XML API, Justice.cz scraping patterns, Insolvency Registry, and how Prismatic unifies these sources.
Interactive Academy: Learning Intelligence Engineering
Inside Prismatic Academy: self-registering learning topics, hands-on labs, ETS-backed topic registry, and how we built an interactive education system within a production platform.
Cross-Border Due Diligence: Multi-Jurisdiction Challenges
Navigating multi-jurisdiction DD with EU harmonization gaps, data access asymmetries, language barriers, and registry interoperability challenges
Zero Trust in Elixir: The SEAL Doctrine
The SEAL doctrine enforces absolute security locks across the codebase. SQL injection, hardcoded secrets, Code.eval usage, and command injection are detected and blocked at both the pre-commit hook level and through AST-based static analysis.
OpenAPI 3.0 and Swagger UI Integration in Phoenix
How Prismatic auto-generates OpenAPI 3.0 specs from Elixir typespecs, serves Swagger UI, validates requests, and manages API versioning.
Entity Resolution: Connecting the Intelligence Dots
How Prismatic resolves entities across multiple data sources using graph databases, confidence scoring, and the Nabla epistemic framework to build verified intelligence profiles.
LiveView Performance: Sub-250ms Page Loads
Achieving sub-250ms page loads in Phoenix LiveView requires careful attention to mount optimization, ETS caching, and error handling. This article shares the patterns we use across 30+ LiveView pages in production.
REST API Auto-Discovery: From Elixir Modules to Endpoints
How Prismatic auto-discovers API endpoints by scanning Elixir modules, extracting @spec definitions, and generating a generic dispatch controller with type coercion.
Getting Started with the Prismatic Python SDK
Complete guide to the Prismatic Python SDK covering async queries, pandas integration for data analysis, Jupyter notebook workflows, and batch operations.
GenServer Patterns for Production Systems
Battle-tested GenServer patterns covering state management, handle_continue, timeout strategies, Registry usage, and bottleneck avoidance in production Elixir systems.
Czech Litigation Monitoring: Courts, Insolvency, and Enforcement
Automated monitoring of Czech court proceedings, ISIR insolvency registry, enforcement tracking, and litigation outcome prediction
Due Diligence Automation: From Manual Investigation to AI Pipeline
Traditional due diligence involves weeks of manual research across disparate sources. The Prismatic DD pipeline automates this with a two-phase Client/Loader architecture, entity schemas, scoring engines, and hypothesis testing for structured recommendations.
Getting Started with the Prismatic TypeScript SDK
Complete guide to using the Prismatic TypeScript SDK for OSINT queries, DD case management, and type-safe API interactions with async/await patterns.
Building Self-Healing OTP Supervision Trees
How Prismatic uses OTP supervision strategies, circuit breakers, and remediation registries to build systems that recover from failures automatically without human intervention.
Umbrella Applications at Scale: Managing 94 Apps
The Prismatic Platform runs 94 applications in a single umbrella project. This article covers domain boundary design, dependency management, cross-app communication, and the tooling required to keep it all working.
API Security and Rate Limiting: Token Bucket Implementation in Phoenix
Protecting Phoenix APIs with token bucket rate limiting, per-client quotas, DDoS mitigation patterns, and Plug-based middleware for comprehensive API security.
Financial Analysis Automation for Due Diligence
Automating financial due diligence: annual report parsing, ratio analysis, trend detection, peer comparison, and red flag identification
NIS2 Compliance: A Technical Implementation Guide
NIS2 and the Czech ZKB law impose strict cybersecurity requirements on critical infrastructure operators. This article walks through the prismatic_compliance app's architecture for CER reports, supplier vetting, and employee screening.
The Command Palette: 228 Commands at Your Fingertips
Inside Prismatic's command palette system: 228 discoverable commands organized by domain, with keyboard-driven navigation, fuzzy search, and contextual suggestions.
LiveView Performance Patterns for Complex Dashboards
Practical patterns for building high-performance Phoenix LiveView dashboards: defensive mounts, efficient assigns, PubSub-driven updates, and Chart.js integration with sub-150ms mount times.
Authentication and Authorization Design: Session Auth and Casbin RBAC in Phoenix
Designing authentication and authorization for a Phoenix application: session-based auth, Casbin RBAC integration, API key management, role hierarchy with admin/operator/viewer, and permission model.
ETS-Backed Registries: Sub-Millisecond Access in Elixir
ETS tables provide concurrent read access with sub-millisecond latency. The Prismatic Platform uses ETS for agent registries, OSINT tool catalogs, blog articles, and glossary terms with patterns you can apply to your own projects.
Building Type-Safe APIs in Elixir with Specs and Dialyzer
How to leverage @spec, @type, and Dialyzer to build robust type-safe API layers in Elixir, with practical examples from API response types and domain models.
OSINT at Scale: 157 Self-Registering Intelligence Adapters
The Prismatic OSINT framework uses Elixir metaprogramming to self-register 157 intelligence adapters at compile time. Each adapter declares its capabilities, input fields, and category, then appears automatically in the UI and API without any manual wiring.
Pre-Commit Security Gates: 9 Blocking Pillars for Code Quality
Implementing pre-commit hooks that enforce 9 blocking security and quality pillars: grep scanning for String.to_atom, hardcoded secrets, AST analysis mix tasks, and pillar-based enforcement architecture.
Beneficial Ownership Analysis: Tracing Ultimate Controllers
How Prismatic traces ultimate beneficial owners through complex ownership chains, nominee structures, and offshore entities using Czech and EU registries
Zero Trust in Elixir: The SEAL Security Doctrine
Implementing the SEAL security doctrine in Elixir: parameterized Ecto queries, environment variable secrets management, Code.eval prevention, input validation boundaries, and OWASP Top 10 mapping.
The 18-Pillar Doctrine: Building Unbreakable Software Systems
The Prismatic Platform enforces quality through 18 interconnected pillars that cover architecture, security, performance, testing, and documentation. This article explains each pillar and how they work together to prevent defects.
ETS-Backed Registries: Sub-Millisecond Data Access in Elixir
How Prismatic uses ETS tables as high-performance registries for agents, OSINT adapters, blog articles, and platform metrics. Patterns for compile-time loading, lazy initialization, and concurrent reads.
Risk Scoring Methodology: Multi-Dimensional Due Diligence Assessment
How Prismatic calculates risk scores across sanctions, insolvency, ownership, financial, and litigation dimensions with calibrated weighting
Threat Intelligence Feeds: Real-Time IOC Ingestion with GenServer
Building a threat intelligence feed aggregator in Elixir: integrating abuse.ch, AlienVault OTX, and MISP format feeds with IOC correlation, feed reliability scoring, and real-time GenServer ingestion.
Property-Based Testing in Elixir with StreamData
A practical guide to property-based testing using ExUnitProperties and StreamData, with real examples from validators, parsers, and encoders.
OpenCorporates Integration: Global Company Intelligence in Elixir
Integrating OpenCorporates API for global company search, jurisdiction mapping, officer lookups, filing analysis, and normalizing corporate data across 140+ jurisdictions in Elixir.
Umbrella Architecture at Scale: Managing 94 OTP Applications
Lessons learned from building and maintaining a 94-app Elixir umbrella project. Covers dependency management, compilation strategies, testing patterns, and when umbrella architecture breaks down.
DNS Intelligence and Enumeration: Passive DNS and Security Scoring in Elixir
Building DNS intelligence capabilities in Elixir: zone transfer detection, passive DNS analysis, DNSSEC validation, SPF/DKIM/DMARC security scoring, and DNS resolver patterns for OSINT platforms.
DD Pipeline Two-Phase Architecture: Client/Loader Pattern
Deep dive into Prismatic's two-phase due diligence pipeline architecture with concurrent fetching, entity processing, and PubSub streaming
Phoenix PubSub at Scale: Topic Design and Fan-Out Patterns
Deep dive into Phoenix PubSub architecture for real-time event distribution at scale, covering topic design, fan-out patterns, message batching, and production conventions.
Sanctions Screening Automation: Fuzzy Name Matching and PEP Detection in Elixir
Automating sanctions screening with EU, OFAC, and HMT list processing, fuzzy name matching using Jaro-Winkler distance, PEP detection strategies, and false positive reduction in Elixir.
The 18-Pillar Doctrine: Building Self-Enforcing Software Quality
How Prismatic Platform enforces quality through 18 complementary pillars covering architecture, testing, security, performance, and documentation -- all validated automatically at every commit.
ARCHER SUPREME: Zero-Shortcut Doctrine
Introducing ARCHER SUPREME - a zero-tolerance anti-shortcut enforcement system with COSMIC CLEARANCE authority. No mocks, stubs, placeholders, or naive implementations ever enter the codebase. Every function is production-ready from creation.
Generation 19 L2: The Evolution of Evolution
Deep dive into Generation 19's Level 2 meta-evolution cycle - optimizing the evolution system itself. We achieved 0.9997 apex fitness through 7 parameter optimizations and 5 new mechanisms including domain-scoped propagation and parallel pattern extraction.
Elixir Development Standards v2.0: Complete File Excellence
The new v2.0 Elixir Development Standards mandate complete file excellence: every public function must be fully implemented, documented with @doc, covered by doctests, annotated with @spec, and benchmarked. Every directory requires a README.md.
WHOIS Domain Intelligence: Registrant Correlation and Historical Analysis
Deep dive into WHOIS-based intelligence gathering: registrant correlation across domains, historical lookups, privacy-protected domain handling, domain age scoring, and building a WHOIS parser in Elixir.
Certificate Transparency Monitoring: Real-Time Subdomain Discovery in Elixir
Implementing Certificate Transparency log monitoring in Elixir for continuous subdomain discovery, phishing detection from SAN fields, and real-time certificate stream processing with GenServer.
VirusTotal Intelligence Integration: Multi-Query Threat Analysis in Elixir
Building a VirusTotal adapter for threat intelligence: file hash lookups, URL scanning, IP reputation checks, domain reports, and efficient multi-query batching in Elixir.
Shodan Integration Guide: Building an OSINT Adapter in Elixir
Step-by-step guide to integrating Shodan's internet device search engine into an Elixir-based OSINT platform, covering API setup, banner parsing, service fingerprinting, CVE correlation, and rate limiting.
Generation 19: Ecosystem Expansion and Open Source Launch
Prismatic Platform reaches Generation 19 with 0.9995 fitness score, 530 autonomous agents, and a new open-source ecosystem. Learn about the evolution that powers continuous platform improvement.
Introducing Prismatic SDK: Open Source Intelligence Development Kit
Prismatic SDK is now available as an open-source, MIT-licensed client library for TypeScript, Python, Elixir, and Go. Build intelligence applications with type-safe APIs, built-in retry logic, and streaming support.
Building OSINT Adapters with Elixir: A Practical Guide
Step-by-step guide to building production-grade OSINT adapters using Elixir, OTP supervision, and the Prismatic Plugin Kit. Covers rate limiting, error recovery, and confidence scoring.
Security Ratings and EASM: How Prismatic Perimeter Scores Your Attack Surface
A technical breakdown of how Prismatic Perimeter computes security ratings (A-F), discovers external assets, and assesses NIS2/ZKB compliance. Transparent methodology with evidence-based scoring.