I’m Krishna Tayal—a full-stack AI product builder shaping conversational agents, automation systems, and trust infrastructure from raw idea to working product.
Builder's thesis
Igenuinelyenjoyshippingreal,workingsystemsratherthanslide-deckideas.Researchbecomesagents.Agentsconnecttoworkflows.Workflowsneedtrust.Trustcompoundsovertime.
Selected work / live index
Role / Automation Architect & Builder
A modular n8n capstone that receives support tickets, prevents duplicates, classifies intent and urgency, routes work by skill and priority, communicates with customers, escalates risk, and measures SLA performance.
The product system · four movements
Follow one idea as it moves from conversation to action, from action to evidence, and from evidence into a practice that gets stronger over time.
Live movement / 01
A useful agent begins with the human problem—not the model demo.
The interface is the visible layer. The connected system underneath is the product.
See the evidenceThe wider build archive
Supporting evidence that does not repeat the main case studies: a capstone prototype, two automation workflows, and a research archive.
Importable automation workflow
An n8n workflow that parses inbound WhatsApp messages, keeps conversation context, produces concise AI replies, handles unsupported media, and logs delivery failures.
Evidence inspected
Webhook, routing, memory, fallback, and reply nodes are present locally
Data automation
A structured-data workflow that imported customer records, fetched country metadata, merged datasets, and filled missing region and subregion values.
Evidence inspected
Built with data tables, REST requests, merge logic, and JSON mapping
Research and communication system
A working archive of AI reports, workflow diagrams, market research, mind maps, pitch decks, tutorials, prototype specifications, and responsible-AI analyses.
Evidence inspected
Created through IIT Jammu Summer School '26 and independent work
Beyond the build
The 407-page book How We Built AI connects the technical arc of artificial intelligence with ethics, governance, and the people living with its consequences.
Explore writingPublished research signal
407
pages of history, systems, ethics, policy, and governance.
How We Built AI