almogbaku.com valid
README
![Follow on X][x] ![LinkedIn][linkedin] ![GitHub][github] ![Email][mailto]
Their llms.txt
The beginning of the file, from our validated copy saved 2026-10-24T09:24:31.990Z. Cached copy · Source on almogbaku.com
# README
[][x]
[][linkedin]
[][github]
[][mailto]
Hi, I'm Almog - a hands-on AI engineering expert, doing AI for almost a decade - since long before LLMs - with
dozens of LLM apps and agents deployed to production.
- Author of **[The LLM Triangle Principle][ltp]** - a framework for building reliable LLM applications in production.
- Founder of [**GenAI Israel**](https://llm.org.il) - the largest LLM developers community in Israel (8,000+ members).
- **Serial founder and Kubernetes contributor since 2016** - production-grade distributed-systems scars, now applied
to how I build AI.
I hack, build, write, and speak - often bluntly - about what actually breaks when you run AI agents in production,
and what it takes to make them reliable.
### Areas of Expertise
- 🧠 AI - LLM apps and agents engineered to survive real users: evals, feedback loops, reliability
- 🏗️ AI Infrastructure - the plumbing that keeps models fast, cheap, and observable in production
- ☁️ Cloud-Native - Kubernetes-native systems that scale without drama
- 📐 Software Architecture at Scale - distributed systems that hold up under real-world load
- 🔐 Cyber + AI - years in the cyber market: AI that's secure, and security that's (artificially) intelligent
---
## Publications
1. **[The LLM Triangle Principle: Software Design Principles for Reliable LLM Apps][ltp]** <br />
Software design principles for reliable, high-performing LLM apps - a framework for bridging the gap between a
slick demo and production-grade performance.
2. **[Building LLM Apps: A Step-By-Step Guide][llm-dev-proc]** <br />
The end-to-end LLM development process - from first experiment to production.
3. **[8 Practical Prompt Engineering Tips for Better LLM Apps][le-tips]** <br />
Field-tested prompt engineering tips - no folklore, just what worked.
4. **[Effective AI Infrastructure Explained][ft-platform]** <br />
What modern AI infrastructure actually needs to do for the ML lifecycle.
5. **Talks** <br />
From time to time, I give talks on various meetups, podcasts and conferences. You can find some of them on my
[LinkedIn][linkedin] profile. Make sure to follow me to get updates on upcoming talks.
## As Seen On
Want me on your stage or podcast? Reach out via [Email][mailto].
Recent appearances include:
* [**AI Dev TLV '25** - Talk](https://www.youtube.com/watch?v=pxeWtRgIbd0) (English) / Feedback Is All You Need - How
to Build Agents That Learn on the Job - a talk I gave at AI Dev TLV '25 about building AI agents that improve
through feedback loops while on the job.
* [**AI
…
Related sites
Similar publisher descriptions and documentation. Similarity does not imply affiliation or equivalent capabilities.
| Domain | Title | Category | Country | Authority | llms.txt | llms-full.txt | Save |
|---|---|---|---|---|---|---|---|
| wearedevelopers.com | WeAreDevelopers agent guide | documentation Community Recruiting and careers | — | 59 | ✓ | ||
| nethouse.id | Nethouse.id | transactional Marketing | ID | 55 | ✓ | ||
| introhive.com | Introhive | documentation Business software | — | 55 | ✓ | ||
| semasocial.com | Semasocial | interface Community Recruiting and careers | — | 56 | ✓ | ✓ | |
| mannerofspeaking.org | llms.txt | informational | HU | 46 | ✓ | ||
| gitdiagram.com | GitDiagram | interface Developer tools AI agents and MCP | — | 54 | ✓ | ✓ | |
| linkedinpreview.com | LinkedIn Post Preview | documentation Marketing Productivity | US | 46 | ✓ | ||
| meetbeagle.com | Beagle (meetbeagle.com) llms.txt | — | 46 | ✓ |
Machine-readable: GET /v1/resolve?q=almogbaku.com · GET /v1/domain/almogbaku.com · this page as Accept: application/json or text/markdown · MCP lookup_domain
Automatically discovered from public files. Inclusion does not imply endorsement or publisher participation.
Own or manage this website?
If you own or manage almogbaku.com, you can update its listing and review file health, discovery activity and score history.
Manage this listing — optional
What verification unlocks
See how your site is discovered—and control what agents see.
- See your website in the map
Review your indexed topics, nearby publishers sharing headings, measured listing exposure and map snapshots in a private report for your website.
- Control what agents see
Edit your listing description, tags, public contact details and additional llms.txt paths. Publish your terms for automated access, attribution and pricing.
- Make your profile eligible for search
A valid, listed, unblocked, verified profile can appear in our publisher sitemap and become eligible for search-engine visibility. Search engines decide what to index and rank.
- Appear in our llms-full.txt
Eligible verified publishers are listed by name, with their file links and summaries, in the service overview agents can read.
Free. No account registration, backlink or payment required. Public discovery remains available without verification.
Let your coding agent verify it
If your coding agent is authorized to manage this website, paste these instructions into it.
Claim my listing on Agent Web Map for almogbaku.com:
1. POST https://agentwebmap.com/v1/sites/almogbaku.com/claims and keep claim_id and claim_secret private.
2. Publish the proof: add the line "AgentWebMap ownership: <token>" (token from step 1) to https://almogbaku.com/llms.txt, or use the DNS, meta-tag or well-known method the response describes.
3. POST https://agentwebmap.com/v1/sites/almogbaku.com/verify with {"claim_id": "...", "claim_secret": "..."}.
4. Save the api_key from the answer; it manages the listing (PATCH https://agentwebmap.com/v1/sites/almogbaku.com).
MCP equivalent: tools begin_ownership_claim, then verify_domain, at https://agentwebmap.com/mcp. Docs: https://agentwebmap.com/docs#verifyCorrections or removal requests: contact the directory.