TIA: The Intelligent Agent

Proof of Capability Through Production Use

TIA isn’t a demo or prototype — it’s the production AI system I use daily to manage 60+ projects, 14,000+ files, and 1,900+ work sessions. It’s proof I can build complex, production-grade agentic AI systems.

What is TIA?

TIA (The Intelligent Agent) is a semantic infrastructure platform that combines:

• AI-powered agents (Claude Sonnet 4.5 via Claude Code)
• Semantic search & discovery (Beth knowledge engine, Prism query system)
• Progressive disclosure (Reveal structure-first exploration)
• Project orchestration (60+ projects across 8 domains)
• Persistent memory (SQLite-backed session continuity)

Think of it as “AI-native operating system for knowledge work” — but proven in production, not just pitched.

By the Numbers

Scale

• 1,900+ sessions: Each session = focused work block with Claude Code
• 60+ active projects: Across software, research, business, infrastructure, revenue
• 14,549 files: Managed across semantic infrastructure
• 1,402 topics: Extracted and indexed via Beth
• 300+ sessions: In last 3 months alone (high activity)

Performance

• 25x token reduction: Progressive disclosure vs. full file reads (measured)
• 15x faster completion: Structure-first exploration vs. grep/find
• 2,700x faster builds: Hugo migration (vs. previous approach)
• <200ms page loads: Production websites deployed

Domains Managed

• Software (40 projects): Scout, Reveal, Morphogen, BidSistant, LocalLeap, SDMS
• Research (7 projects): GenesisGraph, TiaCAD, Pantheon, Philbrick
• Business (7 projects): Nitrogen, Go Be Awesome, River City Coatings
• Infrastructure (2 projects): TIA meta-repository, business analysis
• Websites (6 projects): SIL Website, SIF Website, Sacramento Water Main
• Revenue (2 projects): SDMS Platform, Stickerize My Dog

Core Capabilities

1. Semantic Search (Beth)

Beth is TIA’s knowledge discovery engine:

• Indexes 9,999 files with 31,451 keywords
• 2-3 keyword semantic queries (not exact text matching)
• Returns ranked docs with strength scores
• Discovers knowledge clusters and related topics
• Zero index lag (updates in real-time)

Example: tia beth explore "fasthtml custom tokens" finds relevant docs across all 60 projects instantly.

2. Progressive Disclosure (Reveal)

Reveal shows structure before content:

• Directory layout BEFORE searching (25x fewer tokens)
• File structure (functions, classes, imports) BEFORE full code
• Specific function extraction without reading entire file
• Quality checks and architectural analysis
• Multi-language support (Python, JS, Go, Rust, C, etc.)

Impact: Exploring unfamiliar codebases 15x faster than traditional grep/find.

3. Project Orchestration

TIA manages 60 projects with:

• Automatic session tracking: Every work session tagged with project context
• Cross-project synthesis: Finding patterns across unrelated projects
• Status health checks: 100% git health across projects
• Badge/tagging system: Quick context switching
• Session continuity: Resume work across multiple Claude Code sessions

4. Multi-Agent Workflows

TIA spawns specialized agents for different tasks:

• Explore agents: Fast codebase reconnaissance
• Plan agents: Implementation strategy design
• Research agents: Documentation lookup and synthesis
• Validation agents: Testing and verification

Agents work autonomously, report back results, maintain full conversation context.

5. Infrastructure Integration

TIA integrates with:

• Git: Smart commits, health checks, never push without consent
• GitHub: PR creation, issue management, Actions monitoring
• Nginx: Service registration, deployment scripts
• Docker: Container management
• Hugo: Static site generation and deployment
• Secrets management: Secure credential storage

Production Tools Built with TIA

Scout (AI Agent)

What: Groq-powered AI agent with persistent memory Status: Production (300+ sessions logged) Tech: Python, Groq API, SQLite, Claude integration Proof: Manages complex multi-turn conversations, context switching, knowledge synthesis

Reveal (Code Explorer)

What: Universal resource explorer with progressive disclosure Status: Production (used in 1,900+ TIA sessions) Tech: Python, tree-sitter parsing, LSP integration Proof: 25x token reduction measured across hundreds of exploration sessions

SUP (Semantic UI Platform)

What: Web dashboard for SIL tools and infrastructure Status: Production Tech: FastHTML, semantic integration Proof: Live interface to TIA, Scout, Reveal, project status

SDMS Platform

What: AI-powered custom sticker e-commerce Status: Production (processing real orders) Tech: FastHTML, Stripe, AI image generation Proof: Revenue-generating, proven product-market fit

SIL Website

What: Dynamic documentation and tool showcase Status: Production (sil.dev) Tech: FastHTML, semantic document rendering Proof: Fast, modern, AI-optimized public website

SIF Website

What: Static showcase for Semantic Infrastructure Foundation Status: Production Tech: Hugo + PaperMod Proof: 2,700x faster builds, 82% code reduction vs. previous approach

What TIA Proves

1. Complex System Design

Building TIA required:

• Multi-agent orchestration
• Semantic indexing at scale
• Progressive disclosure algorithms
• Session continuity across restarts
• Tool integration (Git, GitHub, secrets, infrastructure)

This proves: I can design and build complex, production-grade systems.

2. Documentation Obsession

Every TIA component is:

• Fully documented (README, glossaries, architecture docs)
• Version controlled (Git)
• Provenance-tracked (session logs, commit history)
• Searchable (Beth indexing)

This proves: I maintain production-quality documentation practices.

3. Scale Management

TIA manages:

• 60 projects simultaneously
• 14,549 files across semantic infrastructure
• 1,900+ sessions (each with full context)
• Multiple programming languages, frameworks, deployment targets

This proves: I can handle operational complexity at scale.

4. Agentic AI Expertise

TIA uses:

• Claude Sonnet 4.5 (latest frontier model)
• Multi-agent workflows
• Autonomous task execution
• Context-aware decision making
• Tool use and function calling

This proves: I understand modern agentic AI deeply — not just theory, but production deployment.

Why This Matters for Business Opportunities

Agentic AI Consulting

TIA is the portfolio: Consulting clients want proof you can build agentic systems. TIA is 1,900+ sessions of proof.

Software Products (BidSistant, Review Hive, LocalLeap)

TIA is the development environment: These products will be built using TIA’s infrastructure, semantic search, and agent capabilities.

Content & AI (Agentic AI Content)

TIA is the content engine: Semantic indexing, topic extraction, knowledge synthesis — all proven in TIA.

Any Technical Opportunity

TIA proves capability: Not just “I can code” — I’ve built a production AI system managing 60+ projects for 1,900+ sessions. This de-risks technical execution for partners.

How TIA Works (High Level)

Session Workflow

1. Boot: User types boot. → TIA loads context, checks health
2. Understand: User describes task → TIA uses Beth/Reveal to discover structure
3. Plan: TIA creates todo list, asks clarifying questions
4. Execute: TIA uses appropriate tools (code, deploy, test, document)
5. Save: User types save. → TIA creates README, offers session continuation

Discovery Pattern

1. Orient: reveal /project → See directory structure (not blind grep)
2. Navigate: reveal file.py → See functions/classes (not full file)
3. Focus: reveal file.py function_name → Extract specific code
4. Search: tia beth explore "concept" → Semantic knowledge discovery

Documentation-First

• TodoWrite for session tasks
• tia task add for persistent work items
• README generation at session end
• Session badges for quick context
• Cross-session reference via search

TIA vs. Traditional Development

Want to See TIA in Action?

Option 1: Schedule Discovery Call

I can walk you through:

• Live TIA session (explore a project together)
• How Beth semantic search works
• How Reveal progressive disclosure saves time
• Multi-agent workflows in action

Option 2: Review Documentation

• TIA Glossary: 60+ terms defining TIA concepts
• SIL Glossary: 108 terms defining semantic infrastructure
• Session READMEs: 1,900+ session summaries showing TIA’s work
• GitHub: Public repos showing TIA-built projects

Option 3: Explore SIL Ecosystem

• sil.dev: SIL Website (FastHTML, dynamic docs)
• Scout: AI agent with memory (demo available)
• Reveal: Code explorer (integrated into Claude Code)
• SUP: Semantic UI dashboard

Bottom Line

TIA isn’t just a tool — it’s proof of capability.

If you’re considering partnering on an agentic AI consulting business, a software product, or anything requiring complex technical delivery — TIA demonstrates I can:

1. ✅ Build production-grade AI systems
2. ✅ Manage complexity at scale (60+ projects)
3. ✅ Document obsessively (14,549 files tracked)
4. ✅ Deploy to production (multiple live sites)
5. ✅ Iterate and improve (1,900+ sessions of refinement)

This de-risks the technical side of any partnership.

View All Opportunities → | Schedule Discovery Call