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anusbutt merged 1 commit into from
Aug 18, 2026
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feat(portfolio): swap TaskMate for Irha Beauty, move TaskMate to more… #7

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238 changes: 124 additions & 114 deletions src/content/projects.ts
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Original file line number Diff line number Diff line change
@@ -1,115 +1,125 @@
export interface Project {
name: string;
problem: string;
description: string;
techStack: string[];
githubUrl?: string;
websiteUrl?: string;
websiteLabel?: string;
featured?: boolean;
}

export const projects: Project[] = [
{
name: "GraphKeeper",
problem:
"Coding agents lose durable context, and opaque summaries make remembered claims difficult to trust.",
description:
"Built and maintain a Git-native memory layer for coding agents. Evidence-backed claims, explicit provenance, append-only corrections, and repository validation make project knowledge durable, auditable, and safer to reuse across sessions.",
techStack: [
"TypeScript CLI",
"Agent memory",
"Evidence & provenance",
"Git-native storage",
"Codex",
"Claude Code",
],
githubUrl: "https://github.com/anusbutt/Graph_Keeper",
websiteUrl: "https://www.npmjs.com/package/graphkeeper",
websiteLabel: "View npm package",
featured: true,
},
{
name: "TaskMate",
problem:
"Task apps still make users translate intent into manual form and list operations.",
description:
"Built a full-stack AI task manager where authenticated users create, update, complete, and delete tasks through natural language. A Next.js client and FastAPI/PostgreSQL backend orchestrate an AI agent whose MCP tools execute scoped task actions.",
techStack: [
"Next.js",
"TypeScript",
"FastAPI",
"PostgreSQL",
"JWT auth",
"AI agents",
"MCP tools",
],
githubUrl: "https://github.com/anusbutt/taskmate",
websiteUrl: "https://evolution-of-todo-coral.vercel.app/",
},
{
name: "Omniveer Duct Lead Qualifier",
problem:
"Service businesses lose ready-to-book leads when repetitive qualification waits on a human reply.",
description:
"Built an applied AI workflow that responds to inbound duct-cleaning leads, gathers job details, checks fit and availability, and moves qualified conversations toward booking—with human takeover for exceptions.",
techStack: [
"AI agents",
"Python",
"FastAPI",
"Next.js",
"PostgreSQL",
"Workflow automation",
],
websiteUrl: "https://www.omniveer.com/lead-qualification-agent",
websiteLabel: "View case study",
},
{
name: "RAG-Powered Interactive Robotics Textbook",
problem:
"Static learning content cannot answer follow-up questions without losing source context.",
description:
"Built and deployed an interactive textbook with a RAG assistant that embeds and retrieves course content from Qdrant, returns source-grounded answers with lesson citations, and serves the experience through Docusaurus and FastAPI.",
techStack: [
"RAG",
"Cohere embeddings",
"Qdrant",
"FastAPI",
"Docusaurus",
"Source citations",
],
githubUrl:
"https://github.com/anusbutt/Physical-AI-Humanoid-Robotics-Textbook",
websiteUrl:
"https://anusbutt.github.io/Physical-AI-Humanoid-Robotics-Textbook/",
},
{
name: "Agent Replay",
problem:
"AI agent failures are difficult to reproduce, explain, and retest without replaying real-world side effects.",
description:
"Built an agent observability and verification system that records execution, traces failures, and forks runs from the failing step with sandboxed tool calls to test a fix. It spans a Python SDK, FastAPI/PostgreSQL backend, and Next.js debugging dashboard.",
techStack: [
"Python SDK",
"FastAPI",
"PostgreSQL",
"Next.js",
"Agent observability",
"Replay & verification",
],
githubUrl: "https://github.com/anusbutt/agent-replay",
websiteUrl: "https://agent-replay-phi.vercel.app/",
},
];

export const moreProjects: Project[] = [
{
name: "Prospector",
problem:
"AI-assisted research and outreach can fabricate details or act before a human has reviewed the result.",
description:
"An evidence-grounded Python CLI for company research, citation-validated drafting, and approval-gated outreach.",
techStack: ["Python CLI", "AI tool use", "Evidence validation", "Human approval"],
githubUrl: "https://github.com/anusbutt/Prospector",
},
export interface Project {
name: string;
problem: string;
description: string;
techStack: string[];
githubUrl?: string;
websiteUrl?: string;
websiteLabel?: string;
featured?: boolean;
}

export const projects: Project[] = [
{
name: "GraphKeeper",
problem:
"Coding agents lose durable context, and opaque summaries make remembered claims difficult to trust.",
description:
"Built and maintain a Git-native memory layer for coding agents. Evidence-backed claims, explicit provenance, append-only corrections, and repository validation make project knowledge durable, auditable, and safer to reuse across sessions.",
techStack: [
"TypeScript CLI",
"Agent memory",
"Evidence & provenance",
"Git-native storage",
"Codex",
"Claude Code",
],
githubUrl: "https://github.com/anusbutt/Graph_Keeper",
websiteUrl: "https://www.npmjs.com/package/graphkeeper",
websiteLabel: "View npm package",
featured: true,
},
{
name: "Irha Beauty",
problem:
"Beauty brands need an elegant storefront that turns product discovery into effortless checkout.",
description:
"Built and shipped a full-stack e-commerce experience for Irha Beauty with category browsing, product detail pages, cart, wishlist, and account flows, all in a refined nature-inspired design.",
techStack: ["Next.js", "TypeScript", "Tailwind CSS", "E-commerce"],
websiteUrl: "https://www.irhapk.com",
websiteLabel: "View site",
},
{
name: "Omniveer Duct Lead Qualifier",
problem:
"Service businesses lose ready-to-book leads when repetitive qualification waits on a human reply.",
description:
"Built an applied AI workflow that responds to inbound duct-cleaning leads, gathers job details, checks fit and availability, and moves qualified conversations toward booking—with human takeover for exceptions.",
techStack: [
"AI agents",
"Python",
"FastAPI",
"Next.js",
"PostgreSQL",
"Workflow automation",
],
websiteUrl: "https://www.omniveer.com/lead-qualification-agent",
websiteLabel: "View case study",
},
{
name: "RAG-Powered Interactive Robotics Textbook",
problem:
"Static learning content cannot answer follow-up questions without losing source context.",
description:
"Built and deployed an interactive textbook with a RAG assistant that embeds and retrieves course content from Qdrant, returns source-grounded answers with lesson citations, and serves the experience through Docusaurus and FastAPI.",
techStack: [
"RAG",
"Cohere embeddings",
"Qdrant",
"FastAPI",
"Docusaurus",
"Source citations",
],
githubUrl:
"https://github.com/anusbutt/Physical-AI-Humanoid-Robotics-Textbook",
websiteUrl:
"https://anusbutt.github.io/Physical-AI-Humanoid-Robotics-Textbook/",
},
{
name: "Agent Replay",
problem:
"AI agent failures are difficult to reproduce, explain, and retest without replaying real-world side effects.",
description:
"Built an agent observability and verification system that records execution, traces failures, and forks runs from the failing step with sandboxed tool calls to test a fix. It spans a Python SDK, FastAPI/PostgreSQL backend, and Next.js debugging dashboard.",
techStack: [
"Python SDK",
"FastAPI",
"PostgreSQL",
"Next.js",
"Agent observability",
"Replay & verification",
],
githubUrl: "https://github.com/anusbutt/agent-replay",
websiteUrl: "https://agent-replay-phi.vercel.app/",
},
];

export const moreProjects: Project[] = [
{
name: "TaskMate",
problem:
"Task apps still make users translate intent into manual form and list operations.",
description:
"Built a full-stack AI task manager where authenticated users create, update, complete, and delete tasks through natural language. A Next.js client and FastAPI/PostgreSQL backend orchestrate an AI agent whose MCP tools execute scoped task actions.",
techStack: [
"Next.js",
"TypeScript",
"FastAPI",
"PostgreSQL",
"JWT auth",
"AI agents",
"MCP tools",
],
githubUrl: "https://github.com/anusbutt/taskmate",
websiteUrl: "https://evolution-of-todo-coral.vercel.app/",
},
{
name: "Prospector",
problem:
"AI-assisted research and outreach can fabricate details or act before a human has reviewed the result.",
description:
"An evidence-grounded Python CLI for company research, citation-validated drafting, and approval-gated outreach.",
techStack: ["Python CLI", "AI tool use", "Evidence validation", "Human approval"],
githubUrl: "https://github.com/anusbutt/Prospector",
},
];
4 changes: 2 additions & 2 deletions tests/homepage.spec.ts
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Original file line number Diff line number Diff line change
Expand Up @@ -61,7 +61,7 @@ test("homepage positioning and responsive layout", async ({ page }, testInfo) =>
.allTextContents();
expect(projectNames).toEqual([
"GraphKeeper",
"TaskMate",
"Irha Beauty",
"Omniveer Duct Lead Qualifier",
"RAG-Powered Interactive Robotics Textbook",
"Agent Replay",
Expand All @@ -78,7 +78,7 @@ test("homepage positioning and responsive layout", async ({ page }, testInfo) =>
await expect(page.getByText("More projects", { exact: true })).toBeVisible();
await expect(
page.locator('#projects article[data-project-tier="more"] h3'),
).toHaveText("Prospector");
).toHaveText(["TaskMate", "Prospector"]);
await expect(page.getByText("Nestaro Pilot", { exact: true })).toHaveCount(0);
await page.screenshot({ path: testInfo.outputPath("projects.png"), fullPage: true });

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