Tech Stack
Tools & Technology
A deliberately curated set of tools that amplify output across finance, legal practice, and software development.
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Tools in Stack
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Software Tracks
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AI Tools
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Years Building
AI-Augmented Workflow
AI tools that multiply output
These aren’t experimental toys—they’re production infrastructure. Each AI tool is deeply integrated into the daily workflow, handling everything from code generation to legal research synthesis.
Weekly
Vercel V0
UI Generation & Prototyping
Design velocity
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Daily
GitHub Copilot
AI Pair Programmer
10x faster coding
Active
Google Gemini
Multimodal Reasoning Assistant
Multimodal depth
Active
Anthropic
Safety-First Reasoning & Deep Analysis
Precision reasoningClaude SonnetOpus
Claude Code
Agentic Coding CLI
Autonomous engineeringCLIAgent
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Active
xAI Grok
Real-Time Insight Assistant
Real-time perspective
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Active
OpenAI
General-Purpose Frontier Assistant
Versatile intelligenceGPT-5.3
Daily
VS Code IDE
AI-Native Code Editor
Cognitive leverage
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Active
NotebookLM
AI Research & Knowledge Synthesis
Source-grounded insights
Daily
Dia
AI Browser & Ambient Assistant
Ambient intelligence
Active
Perplexity
AI-Powered Search & Agentic Browser
Cited answers + autonomous researchSearchComet
Google AI Studio
AI Discovery & Prototyping
Enables rapid prototyping and model evaluation across Gemini variants without any infrastructure setup, accelerating AI feature discovery.gemini-3.1-pro-previewgemini-3.1-flash-image-previewgemini-3.1-flash-lite-previewgemini-2.5-progemini-2.5-flashgemini-2.5-flash-lite
Software Ecosystem
Explore frameworks, protocols, and AI-native infrastructure
Embeddings and vector search shape retrieval, MCP and agent protocols structure tool use, TanStack sharpens application state, orchestration frameworks coordinate AI flows, UI primitives keep interfaces precise, and edge runtimes carry the whole system closer to the user.
6 ecosystems • 30 technologies
Radar Logic
Rings show practical maturity. Inner rings indicate tools already shaping real product decisions; outer rings mark active exploration and emerging bets.
Adopt75+%
Trial55+%
Assess35+%
Hold0+%
Quadrants
AI & ML
Frontend
Backend & Data
Infrastructure
Integrated Ecosystems
Pipelines, not isolated tools
The real power of a tech stack is not in individual tools but in how they flow together. These three pipelines show how information moves from raw input to polished output.
Prompt-to-Production Pipeline
From natural language prompt to deployed application in a single workflow. v0 generates UI, Copilot fills implementation gaps, Vercel handles deployment.
01Idea
02v0 Prototype
03Copilot Refinement
04Vercel Deploy
Research-to-Insight Engine
Legal and financial research starts with Perplexity surfacing the latest sources, NotebookLM grounding synthesis in uploaded documents, then flows through Bloomberg and LexisNexis for validation before producing actionable insight reports.
01Perplexity Search
02NotebookLM Synthesis
03Bloomberg/Lexis
04Insight Report
Data-to-Decision Framework
Raw data enters through SQL queries, undergoes statistical analysis in Python or R, and surfaces as interactive visualisations in Next.js dashboards.
01Raw Data
02SQL Queries
03Python/R Analysis
04Dashboard
AI Discovery Pipeline
From open question to cited brief in a single session. Perplexity surfaces the landscape with real-time citations, NotebookLM grounds the analysis in your uploaded corpus, and Dia provides ambient context as you browse — producing structured, source-verified briefs.
01Question
02Perplexity Search
03NotebookLM Grounding
04Structured Brief
Full Stack Overview
The complete stack at a glance
Every tool, framework, and technology actively used across frontend, backend, data, and professional domains. Dot colour indicates proficiency: accent = high, dimmed = foundational.
Languages & Frameworks4
PythonTypeScript / Next.jsSQLR
Finance & Legal Tools4
Bloomberg TerminalExcel / VBALexisNexisFSCA Regulatory Docs
Infrastructure & Productivity4
Git / GitHubVercelNotion / ObsidianSupabase
Frontend Frameworks6
ReactNext.jsTailwind CSSFramer MotionVue.jsSvelte
Backend Frameworks5
Node.jsExpress.jsNext.js API RoutesFastAPItRPC
Databases5
PostgreSQLSupabaseMongoDBRedisPrisma
Testing & Quality Assurance5
JestVitestPlaywrightCypressESLint
Build Tools & DevOps5
ViteGitHub ActionsDockerVercelTurborepo
Embedding & Vector AI5
OpenAI EmbeddingsVoyage AINomic EmbedCohere Embedpgvector
Agent Protocols & MCP5
Model Context ProtocolMCP SDKsAgent-to-AgentZodValibot
TanStack Ecosystem5
TanStack QueryTanStack RouterTanStack TableTanStack FormTanStack Virtual
AI Orchestration5
Vercel AI SDKLangChain.jsMastraLlamaIndex TSInngest
UI & Component Libraries5
shadcn/uiRadix UIVaulcmdkHeadless UI
Edge & Cloud Infra5
Vercel Edge FunctionsCloudflare WorkersUpstash RedisTrigger.devSupabase Edge Functions
Proficiency Breakdown
Skill depth across domains
Proficiency measured by frequency of professional use, depth of domain knowledge, and ability to produce production-ready output.
Core programming languages and frameworks for building robust applications.
Python85%
Data analysis, automation, financial modelling
TypeScript / Next.js75%
Web applications, dashboards, tooling
SQL80%
Financial databases, reporting queries
R60%
Statistical analysis, portfolio modelling
Workflow Philosophy
Principles behind the stack
Tools are only as good as the principles guiding their selection and use. These four pillars define how technology choices are evaluated, adopted, and integrated into professional practice.
01
Context-First Development
Every tool is chosen for its contextual fit, not its popularity. The right abstraction at the right layer reduces friction and compounds productivity over time.
02
AI as Infrastructure
AI tools are not novelty features but foundational infrastructure integrated at every stage of the workflow, from research to deployment.
03
Data-Driven Decisions
Professional expertise is amplified by data, not replaced by it. Quantitative tools provide the evidence base for qualitative judgment calls.
04
Security & Compliance by Default
In finance and law, security is not optional. Every tool selection considers data handling, access controls, and regulatory compliance from day one.
Technology does not replace expertise — it reveals how much more is possible when expertise is properly amplified.
Every hour saved on routine work is an hour reinvested in judgment.
— AVW