Answer-engine measurement
How AI assistants select, cite and rank sources—and how to measure it fairly.
Lab principleEvidence before autonomy
An AI lab for a worldthat asks AI first.
Danhoangda is an independent AI lab in Hanoi. We build HowAI Suite—four systems that observe, govern, correct and act on what AI says about a company—and Metal Mantra, an open evidence registry for AI agents. We also research how intelligent systems can act reliably in the physical world.
- products built by the lab
- 5
- AI answer engines measured
- 4
- languages on HowAICite
- 9
- rule: evidence comes first
- 1
00Why the lab exists
AI is becoming the interface between companies and the world. We build the instruments that make it observable, accountable and correctable—so every answer shows its evidence before anything acts on it.
01Lab console
One question. Four systems. Every step on the record.
Pick a buyer question and watch how HowAI Suite handles it—from the observed answer to an action a person can approve.
Which AI visibility platform should a B2B SaaS team choose?
01ObserveHowAICite 02GovernHowAISafe 03CorrectHowAITrust 04ActivateHowAIAds
Illustrative run with sample data for a fictional company. Not a live measurement.
Evidence before autonomy · Preserve the observed answer · Provenance before conclusions · Limits, made visible · People approve every spend · Recheck until it changes
02Systems
Five products. One evidence layer.
Each product has one hard job. HowAI Suite lets a company observe, govern, correct and act across the AI layer; Metal Mantra shows what AI agents reveal before you trust them.
AI visibilityOpen
HowAICite
See who AI recommends—and win the answer back.
Measure real buyer questions across ChatGPT, Claude, Perplexity and Gemini. See the answer, the sources and the move most likely to change it.
AI governanceOpen
HowAISafe
Turn AI governance into living evidence.
One owned inventory of AI systems. Prioritize risk, close control gaps and keep a defensible history of every decision.
AI accuracyOpen
HowAITrust
Find the false claim. Prove it changed.
Catch wrong prices, missing features and outdated facts, trace them to the source and recheck until the AI answer is accurate.
AI advertisingOpen
HowAIAds
Pay only where the AI answer leaves you out.
An ad agent for AI chatbots that checks organic visibility first, works inside approved caps and keeps every spend change reviewable.
Agent evidenceOpen
Metal Mantra
Trust the evidence, not the pitch.
An open registry that scans an AI agent's public source with a published five-pillar method and shows the findings, the scan scope and what stays unknown. Automated signals, not certification.
ResearchSee research
Robotics & intelligent systems
How software can perceive, decide and act reliably in the physical world.
03Inside the products
Real products. Real screens.
Every product is running in production at its own address. These are the current product pages.
See who AI recommends—and win the answer back.
Open HowAICite04Method
How the lab works.
One rule runs through everything we build: keep the evidence before you draw a conclusion, and before any system acts.
- 01
Observe
Ask the real question, the way a buyer would, across the engines that answer it.
- 02
Preserve
Keep the answer, its sources and the moment it was seen. Conclusions come later.
- 03
Decide
Rank what matters: the gap, the risk or the false claim most likely to cost you.
- 04
Act within limits
Fix the source, correct the claim or buy reach—only inside limits a person approved.
- 05
Recheck
Measure again. A change counts only when the answer itself has changed.
05Research
Intelligence beyond the screen.
Alongside the suite, the lab studies how AI systems choose what to say—and how intelligent systems can perceive, decide and act in the physical world.
Governance evidence
What makes an AI decision defensible months after it was made.
Accuracy loops
Tracing a false claim to its origin and proving the correction landed.
Guarded agents
Agents that publish, spend or change things only inside limits people set.
R/05
Robotics research
- Perception
- Decision systems
- Human–robot interaction
- Reliable autonomy
06Lab notes
Recently shipped.
07Questions
Good questions, straight answers.
What is Danhoangda?
An independent AI lab in Hanoi, Vietnam. It owns and builds HowAI Suite and Metal Mantra, and runs applied research on AI answer engines, governance, agent evaluation and robotics.
Who runs it?
Danhoangda is founded and operated by Nguyễn Thành Dân. Product, support and security questions go directly to the person responsible for the system.
How do the HowAI Suite products fit together?
HowAICite observes what AI says, HowAISafe governs the AI a company uses, HowAITrust corrects false claims and HowAIAds buys reach only where the organic answer leaves you out.
What is Metal Mantra?
An evidence-led registry for AI agents. It scans an agent's public repository with an open, versioned five-pillar method and publishes the findings, the scan scope and the limits. Its scores are automated signals, not security certification.
Is the robotics work a product?
Not yet. Robotics and intelligent systems are an active research direction of the lab, not a product announcement.
How do I get in touch?
Email the lab. Partnerships, research collaboration and product questions are all welcome.
08Danhoangda / Hanoi, Vietnam