Active
Local LLM Playground
A private playground for running and comparing open models via Ollama with streaming chat, system prompts, and parameter controls.
LLMsOllamaLocal AI
Personal AI Laboratory
AI Lab
Building practical AI systems, autonomous agents, and intelligent DevOps tools.
prompt → plan → code → test → deploy//human-guided, agent-accelerated
Agentic AIRAGMCPLocal LLMsDevOps
Lab
Featured Experiments
Practical systems — agents, local models, automation, and DevOps copilots — built in the open.
Active
Kubernetes AI Assistant
Natural-language assistant that inspects cluster state, suggests fixes, and generates safe kubectl / Helm workflows.
AgentsKubernetesDevOps
Active
GitLab AI Automation
Pipeline helpers that summarize MRs, draft release notes, and triage CI failures using repository context.
AutomationGitLabCI/CD
Active
RAG Knowledge Base
Retrieval-augmented knowledge base over runbooks, architecture docs, and postmortems with hybrid search.
RAGVector DBResearch
Prototype
AI DevOps Copilot
Copilot for Terraform, Helm, and CI configs — explains drift, proposes patches, and reviews IaC for safety.
DevOpsIaCAgents
Prototype
OpenStack Agent
Multi-tool agent that queries OpenStack services, meters usage, and drafts operational reports.
AgentsOpenStackCloud
Research
Prompt Engineering Lab
A structured notebook of prompt patterns for ops, code review, and agent tool descriptions.
ResearchPromptsLLMs
Active
MCP Server
Model Context Protocol server exposing DevOps tools — Vault, GitLab, K8s — to MCP-compatible clients.
MCPToolsAgents
Prototype
AI Code Review
Automated PR review focused on security, reliability, and DevOps conventions rather than style nits.
AutomationSecurityTools
Research
Current Research
Topics under active study — from agentic systems to local inference and protocol work.
Agentic AI
Building2026Designing reliable agent loops with planning, memory, and human checkpoints for ops tasks.
Reasoning Models
Exploring2026Evaluating when chain-of-thought and extended reasoning improve incident response quality.
Model Context Protocol
Building2026Standardizing tool access for DevOps systems through MCP servers and clients.
Vector Databases
Deep dive2025Comparing Qdrant, Milvus, and Postgres pgvector for runbook RAG at ops scale.
Tool Calling
Building2026Schemas, retries, and confirmation UX for safe tool use in production agents.
Multi-Agent Systems
Exploring2026Specialist agents for CI, infra, and security collaborating through shared context.
Local LLMs
Deep dive2025Quantization, hardware trade-offs, and privacy-first local model workflows.
OpenAI Responses API
Building2026Building agent backends on the Responses API with structured outputs and tools.
Models
Model Collection
Models evaluated in the lab — frontier APIs and open weights for local and hybrid systems.
G5
GPT-5
OpenAI
Frontier general model with strong reasoning, coding, and tool-use capabilities.
Strengths: Reasoning · Coding · Tool calling
Best for: Complex agent loops and production copilots
C
Claude
Anthropic
Excellent long-context analysis and careful, structured engineering assistance.
Strengths: Long context · Writing · Safety
Best for: Architecture reviews and large codebase analysis
Ge
Gemini
Multimodal model family with strong retrieval and broad knowledge coverage.
Strengths: Multimodal · Search grounding · Scale
Best for: Document + image grounded workflows
Q
Qwen
Alibaba
Open-weight family with competitive coding and multilingual performance.
Strengths: Open weights · Coding · Multilingual
Best for: Self-hosted assistants and fine-tuning experiments
L
Llama
Meta
Widely adopted open models for local inference and custom fine-tunes.
Strengths: Ecosystem · Local run · Fine-tuning
Best for: Private on-prem LLM deployments
M
Mistral
Mistral AI
Efficient models balancing speed and quality for latency-sensitive tools.
Strengths: Efficiency · Speed · APIs
Best for: Fast agent tools and edge-friendly services
D
DeepSeek
DeepSeek
Strong reasoning and coding models with competitive cost profiles.
Strengths: Reasoning · Coding · Value
Best for: High-volume code and reasoning workloads
Φ
Phi
Microsoft
Small, capable models designed for efficient local and edge scenarios.
Strengths: Small size · Efficiency · Local
Best for: Lightweight local assistants and prototypes
Architecture
Architecture Showcase
A typical lab stack — from the user through the gateway to models, retrieval, and tools.
Hover or focus a node to highlight the flow path.
Writing
Latest Articles
Notes on agents, local models, RAG, and shipping AI into real DevOps workflows.
Signals
Project Statistics
A snapshot of lab activity — experiments, models, repos, and deployments.
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Experiments
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Models Tested
0
Repositories
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Articles
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Deployments
Stack
Technology Stack
Languages, platforms, and AI tooling used across the laboratory.
GoGo
PyPython
DoDocker
KuKubernetes
GiGitLab
OpOpenStack
TeTerraform
LaLangChain
OlOllama
OpOpenAI
AnAnthropic
ReRedis
PoPostgres
MoMongoDB
MiMilvus
QdQdrant
GoGo
PyPython
DoDocker
KuKubernetes
GiGitLab
OpOpenStack
TeTerraform
LaLangChain
OlOllama
OpOpenAI
AnAnthropic
ReRedis
PoPostgres
MoMongoDB
MiMilvus
QdQdrant
Interactive
Terminal
Explore the lab from a fake shell — try help, projects, models, or whoami.
ailab — zsh
AI Lab terminal v1.0 — type 'help' to get started.
guest@ailab:~$
“The future belongs to engineers who know how to collaborate with AI.”