Trackly discovery system
Direct career-page signal becomes searchable, explainable job context.
- 1 Puppeteer
- 2 PostgreSQL
- 3 Azure AI Search
- 4 Model routing
- 5 Web and native apps
A verified builder map
The tools are only interesting when you can see the system they shipped.
An evidence-backed view of the models, infrastructure, browser agents, analytics, voice systems, and product tooling I have used across Trackly, Close AI, and public labs.
65 verified tools and patterns
8 capability layers 4 system flows 4 evidence states 0 unverified logos
Sensitive topology, credentials, and employer IP are excluded.
01
Evidence before logos
Every entry names the implementation or operating proof behind it.
02
Current state matters
Active infrastructure is separated from prototypes and historical systems.
03
Systems beat shopping lists
The flow view shows how tools combine into a product outcome.
Interactive evidence
Builder stack explorer
Showing all 65 entries
Shipped Used in a public product or artifact.
Active system Supports a live product or operating workflow.
Prototype Implemented in a bounded experiment or proof of concept.
Historical Previously operated, evaluated, or retained for reference.
Reasoning layer
Models and agent systems
Models, protocols, and agent runtimes selected for cost, capability, and control.
Context layer
Retrieval and data
Search, structured data, document parsing, and grounding for product decisions.
Action layer
Browser and automation
Tools and custom policies for workflows that end in real interfaces instead of clean APIs.
Runtime layer
Infrastructure and delivery
Cloud, infrastructure as code, deployment, networking, and production delivery.
Learning layer
Observability and analytics
Tracing, product analytics, model monitoring, alerting, and operational feedback.
Interaction layer
Voice and communication
Real-time voice, transcription, messaging, and conversation-to-action systems.
Quality layer
Product engineering and quality
Native and web delivery, automated testing, review, and release evidence.
Distribution layer
GTM and operating tools
The systems used to reach users, manage relationships, and publish content.
No evidence matches those filters.
The map becomes more useful when the tools resolve into an end-to-end product path.
Human-reviewed browser agent
Selected work becomes a prepared form without surrendering submission control.
- 1 Trackly MCP
- 2 Custom harness
- 3 Codex computer use
- 4 Form verification
- 5 Human approval
Real-time voice onboarding
A conversation becomes structured profile context inside a native product.
- 1 SwiftUI
- 2 Azure Realtime
- 3 WebRTC
- 4 Tool calls
- 5 PostHog and Langfuse
Conversation-to-follow-up
Meeting context becomes a reviewed message and a next action.
- 1 Fireflies
- 2 Hume AI
- 3 Claude
- 4 Human review
- 5 Gmail and Calendar
Trust model
What qualifies for the map
Implementation evidence
A dependency, integration, deployment path, test, public artifact, or verified operating workflow.
Honest lifecycle state
Historical and prototype work stays visible without being mislabeled as current production.
Public-safe abstraction
The map explains product and architecture judgment without publishing private topology, data, or code.