# Eli Lap — Full Site Content

> Fractional engineering leadership for AI-heavy products. Past CTO. Building agent infrastructure.

Last updated: 2026-05-18

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## About Eli Lap

Eli Lap is a software engineer and fractional CTO who helps technical founders ship reliable AI products. He has built and led engineering teams at multiple companies and currently focuses on AI product engineering — helping startups integrate AI deeply into their core workflows rather than bolting it on.

**Current focus:** AI architecture, LLM-powered features, agentic systems, retrieval pipelines, and document processing. Previously built production systems in distributed infrastructure, real-time data, and developer tooling.

**Location:** Remote
**Contact:** contact@elilap.dev
**Twitter/X:** @theelilap
**LinkedIn:** https://linkedin.com/in/ilja-lapkovsky-01828679
**GitHub:** https://github.com/eli-l

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## Services

### AI Architecture Review

A focused engagement to evaluate how AI is integrated into a product. Covers:
- LLM selection and prompt design
- Retrieval-augmented generation (RAG) pipeline quality
- Agent orchestration and tool use patterns
- Observability and evaluation harnesses
- Cost and latency profiling

Deliverable: a written report with prioritised recommendations and a call to walk through findings.

### Fractional CTO

Ongoing part-time technical leadership for AI-heavy startups. Typical scope:
- Technical strategy and roadmap
- Hiring and team structure
- Architecture decisions and design reviews
- Vendor and tooling evaluation
- Stakeholder communication on technical topics

Engagement model: retainer, typically 2–4 days per month.

More details: https://elilap.dev/services

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## Selected Projects

### MapOn

A location-based social platform. Built the backend infrastructure and real-time event system.

### Go Agent Skill Runtime

A Risor-based runtime for building reusable AI agent skills. Features 114 built-in functions, JSON-first output, and zero glue code. Designed for embedding agent capabilities into Go services without external orchestration overhead.

URL: https://elilap.dev/agentic/goskillenv
Repository: https://github.com/eli-l

### Other Projects

Full list: https://elilap.dev/projects
Case studies: https://elilap.dev/cases

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## Writing & Blog

Eli writes about engineering leadership, AI infrastructure, distributed systems, and indie product development.

Topics covered:
- LLM integration patterns and pitfalls
- Building reliable agentic systems
- Engineering team scaling
- Technical decision-making as a founder or CTO
- Open-source Go tooling
- Distributed systems and real-time data

Blog index: https://elilap.dev/blog
RSS feed: https://elilap.dev/rss.xml
Atom feed: https://elilap.dev/atom.xml

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## Contact & Booking

- **Email:** contact@elilap.dev
- **Book a 15-minute call:** https://cal.eu/elilap/15min
- **Telegram:** https://t.me/elilap
- **Twitter/X:** https://x.com/theelilap
- **Buy Me a Coffee:** https://buymeacoffee.com/elilap

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## Site Structure

| URL | Description |
|-----|-------------|
| https://elilap.dev/ | Homepage — overview, services summary, selected work, experience |
| https://elilap.dev/services | AI architecture review and fractional CTO engagement details |
| https://elilap.dev/projects | Open-source and indie projects |
| https://elilap.dev/cases | Case studies of past client and product work |
| https://elilap.dev/blog | All blog posts |
| https://elilap.dev/connect | Social links and contact options |
| https://elilap.dev/contact | Contact page |
| https://elilap.dev/privacy | Privacy policy |
| https://elilap.dev/agentic/goskillenv | Go Agent Skill Runtime project page |
| https://elilap.dev/rss.xml | RSS feed |
| https://elilap.dev/atom.xml | Atom feed |
| https://elilap.dev/llms.txt | AI-readable site summary (concise) |
| https://elilap.dev/llms-full.txt | AI-readable site content (full, this file) |

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## Machine-Readable Endpoints

- **RSS feed:** https://elilap.dev/rss.xml
- **Atom feed:** https://elilap.dev/atom.xml
- **Sitemap index:** https://elilap.dev/sitemap.xml
- **Robots policy:** https://elilap.dev/robots.txt
- **AI summary (concise):** https://elilap.dev/llms.txt
- **AI content (full):** https://elilap.dev/llms-full.txt