Bogor · Applied AI Engineer

Fudhoil

I use and manage AI inside real products — wire agents to tools, write skills that guide how models work, connect MCP to company systems, and put insights on live dashboards. I don’t invent foundation models; I make existing ones useful at work.

Try interactive lab How I work with AI

Practice

Applied AI — run it, wire it, keep it honest.

Not model research. I configure, integrate, and operate AI systems in production: agent platforms, skill libraries, MCP, product intelligence UIs, and delivery gates — on top of years shipping business software.

Use agents Configure LLM coworkers with tools, memory, channels, credits
Manage skills + MCP 30+ cookbooks · PMT MCP · web search/fetch providers
Product AI surfaces Dashboard Insight Brief · Explain with AI · contextual actions
Govern delivery Full-auto agent workflows · AI Score gates · multi-role pipelines
Operate models Serve / integrate APIs · put LLMs in real tools (e.g. spreadsheets)

Interactive lab

Play with how I work.

Click, type, and steer — a tiny taste of agent ops, not a model trainer.

fudhoil · applied-ai

Steerable depth

How hard do we reason about delivery?

instant · everyday ops

Living loop

Tap a node — watch the loop light up.

Idle — pick a node to pulse the path.

01 · Agents

I run in-product AI coworkers

Configure and operate LLM agents inside ERP — pick providers, prompts, tools, channels. The model is bought or plugged in; the system around it is what I own.

Provider plugs

Wire OpenAI-compatible + Anthropic APIs, model templates, identity prompts, secret scopes.

OpenAI · Anthropic · Templates

Tool-calling ops

Manage agent loops with memory, subagents, webhooks — so the model acts on tools, not just chat.

Loop · Memory · Subagents · Webhooks

Channels & credits

WhatsApp / Telegram sessions, participant secrets, usage events, company credit ledger.

Messaging · Sessions · Billing

02 · Skills & MCP

Steer models with rules and tools.

30+ HMX skill cookbooks

Markdown skills for modules, XML views, Webx, security, reports, E2E — agents must read these before they code.

SKILL.md · Pattern discovery · Workflow

MCP toolbelt

Connect stdio + remote MCP, secret substitution, reload. Brave / Tavily / Jina for search and fetch quality.

MCP · Secrets · Web providers

PMT product context

Point agents at PRDs and tasks so answers come from roadmap truth, not vibes.

PMT MCP · PRD · Evidence

03 · Product intelligence

AI on the dashboard the user already sees.

AI Insight Brief

Shared host + store so dashboards register context once and get briefs without copy-paste plumbing.

Hashy · Insight Brief · Providers

Explain with AI

Per-widget explain actions from live snapshots — answers tied to visible data, not blank chat.

Contextual actions · Webx

Suggested actions

Validate/fallback AI suggestions so operators get next steps that actually make sense.

Action cards · Safety

04 · Delivery systems

Multi-agent pipelines with score gates.

Full-auto mode

Plan → implement → verify → commit → GitLab MR without asking every mundane step — safety rails kept.

Full-auto · MR · GitLab

AI Score reviewer

Independent gate scores evidence before push. Weak proof blocks ship.

Reviewer · Score ≥ 85 · Blockers

Role-separated agents

Product Manager · Investigator · Executor · QA — one agent doesn’t rubber-stamp itself.

Multi-agent · E2E proof

05 · Use & operate

Plug models in. Serve what we need. Skip research lab cosplay.

Inference APIs I run

Operate FastAPI /predict + Docker serve profiles — load artifacts, health checks. Ops around models, not inventing new ones.

FastAPI · Docker · Serving

Tabulate

Call OpenAI from Excel flows — keep people in the grid, not a side chat.

OpenAI · Spreadsheets · Integration

github.com/fudhoil/tabulate

Clear line

Applied work: use APIs, manage agents, ship product AI. Not training foundation models. Day job → HashMicro page.

Open HashMicro →

Applied AI stack

What I use to manage AI at work.

Model APIs I consume

OpenAI · Anthropic · OpenAI-compatible providers · Responses APIs

Agent ops

Tool loops · MCP · Skills · Subagents · Memory · Webhooks

Product surfaces

Dashboard intelligence · Contextual actions · Messaging channels

Delivery control

Cursor · Multi-agent roles · AI Score gates · Playwright/Cucumber E2E

Serving & ops

FastAPI inference hosts · Docker · Python · TypeScript

Foundation

PostgreSQL · REST/SOAP · Python ERP systems · GitLab CI

Elsewhere

Job and everything else, split out.

Current HashMicro Current job — use/manage AI + ERP delivery on International Team. Archive Other work Past roles, mobile products, open-source, education.

Contact

Need AI used well inside a product?

Agents, skills, MCP, or product intelligence — I wire and run it. Not looking to invent your foundation model.

fudhoilhlf@gmail.com GitHub LinkedIn