Marketplace
Discover ready-to-run AI agents and reusable templates.
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Data Analysis Agent Template
The Data Analysis Agent Template turns any CSV file into an interactive AI-powered dashboard that runs entirely in your browser. Powered by Pyodide (Python compiled to WebAssembly), it loads pandas and numpy locally — no data ever leaves your machine. Upload your CSV by dragging and dropping it onto the interface. The agent parses it instantly and displays a preview table of the first 10 rows. From there, ask questions in plain English: "show me a summary of the data", "plot a histogram of the sales column", "what are the correlations between numeric variables?", or "show value counts for the region column." Under the hood, the agent uses GPT-4o, Claude 3.5 Sonnet, or a fully local WebLLM model (your choice) to interpret your query and call the correct Python analysis function. It can generate pandas .describe() statistics, detect missing values per column, compute a full Pearson correlation matrix with highlighted strong correlations, and create matplotlib bar charts or histograms rendered as inline images — all without sending your data to any external server. This template is ideal for data analysts, researchers, and developers who need quick exploratory data analysis (EDA) on sensitive datasets, offline environments, or anywhere a traditional server-side tool is not appropriate. The exported HTML file is fully self-contained — open it in any modern browser (Chrome 113+, Edge 113+) with WebGPU support and it works immediately.
WhatsApp Sales Copilot
Turn a raw WhatsApp chat export into a mini CRM — quotes, bookings, payments and boarding passes typed automatically, a sales-pipeline stage, the next action to take, and grounded Q&A — entirely in your browser, so client data never leaves.
Private Quote & Material Estimator
Drop competing contractor quotes (PDFs) and compare them side by side — totals, inclusions, exclusions — then ask questions across all of them, fully private and in your browser.
Messy Itinerary Travel Planner
Drop your messy pile of booking PDFs, confirmation emails, and trip notes and get a clean day-by-day itinerary — including warnings about gaps like a 14:00 landing vs a 16:00 check-in — without your bookings ever leaving your browser.
Contract Plain-Language Explainer
Upload a contract and get it explained in plain language — obligations, fees, deadlines, exit clauses, and red flags — with every answer grounded in the actual text, fully in your browser.
Semantic Search
Paste or upload text and search it by meaning, not keywords — instant results in your browser on a 25 MB model, no LLM or big download needed.
Meeting Minutes
Upload a meeting recording and get structured minutes — a summary, key decisions, and action items — plus follow-up Q&A, fully in your browser.
Voice Transcriber
Upload a voice note or record straight from your microphone and get an instant transcript, then ask questions or request a summary — answers can be read aloud. Fully in your browser, nothing uploaded to a server.
Document Q&A
Upload a PDF or text file and ask questions answered only from that document — fully in your browser, nothing uploaded to a server.
New Hire Handbook Q&A
A grounded onboarding assistant that lets new hires upload one or more company documents, then ask policy questions answered strictly from those uploaded materials with source citations and clear 'not covered' responses.
Principal Engineer Architecture Copilot
A chat-first software architecture and code review copilot that helps analyze designs, debug root causes, propose maintainable implementations, and produce production-ready technical guidance.
SEO Content Analyzer Pro
Analyze SEO article drafts with quantitative metrics and expert marketing feedback. Computes word/sentence stats and top 5 frequent words (ignoring stopwords), then presents a markdown table followed by concise, actionable recommendations.
New Hire Handbook Grounded Q&A
A document-grounded onboarding assistant that lets new hires upload one or more company handbooks, policy PDFs, or text files, then ask questions answered strictly from those documents with source citations and clear coverage gaps.
Freelancer Tax Q&A Helper
A friendly, plain-language tax-question helper for freelancers and independent contractors. Ask about deductions, quarterly estimated taxes, and self-employment tax. The agent cites the general rule, explains steps or quick calculations when helpful, and always ends with a short reminder that this isn't professional tax advice.
Resume Optimizer
The Resume Optimizer is a fully browser-based AI agent that rewrites your resume to beat Applicant Tracking Systems (ATS) and land more interviews. Upload your existing resume as a PDF, DOCX, or plain text file — the agent extracts the text using pypdf and python-docx running via Pyodide (Python compiled to WebAssembly) — then paste the job description you are targeting. The agent analyzes both documents locally and delivers four results simultaneously. First, an ATS compatibility score (0–100) with a breakdown across keyword coverage, formatting compliance, action verb usage, and achievement quantification. Second, a keyword analysis panel showing every required skill and term from the job description as either matched (present in your resume) or missing (absent but needed). Third, a set of issues and recommendations ranked as critical, warning, or informational — covering specific bullet points to rewrite, missing sections, and suggested power verbs for your industry and role level. Fourth, a full optimized resume with rewritten bullet points, added keywords, and ATS-safe formatting applied. The three-panel interface lets you view the original, the optimized version, and a direct side-by-side comparison. When you are satisfied, export the optimized resume as a PDF (via jsPDF), DOCX, or plain text with one click. The template supports seven target industries — Technology, Finance, Healthcare, Marketing, Engineering, Consulting, and Other — and four role levels: Entry, Mid, Senior, and Executive. Because the entire pipeline — PDF text extraction, keyword matching, ATS scoring, and LLM rewriting — runs inside the browser, no resume data is ever uploaded to an external server. Compatible with GPT-4o, Claude 3.5 Sonnet, or a fully local WebLLM model for complete offline privacy.
ATS Resume Optimizer Agent Template
The ATS Resume Optimizer Agent helps you tailor your resume to specific job postings and stand out in applicant tracking systems. Paste the job description, upload your resume, and let the agent: Parse your resume and the job description, then extract role-specific keywords. Compute an ATS compatibility score with a breakdown across skills, experience, formatting, and keyword match. Rewrite bullet points to be more outcome‑oriented, quantified, and aligned with the role level you select. Suggest missing skills or keywords that appear in the job posting but not in your resume. Highlight critical issues like vague bullets, missing dates, or formatting problems that may confuse ATS parsers. The agent never fabricates experience or qualifications you don’t have. It works purely with the content you provide and makes conservative, explainable edits you can accept or further refine.
Sales Data Explorer (CSV)
Upload a CSV of sales orders (date, region, product, amount). Explore insights with summary stat cards, quick charts (Summary, Top products, Monthly trend), and a natural-language Q&A chat for non-technical sales managers. Charts render inline; answers are concise and business-friendly.
CSV Data Cleaner
The CSV Data Cleaner is a fully browser-based AI agent that turns messy, inconsistent spreadsheet data into clean, analysis-ready CSV files — without uploading your data to any external server. Upload your CSV by clicking or dragging and dropping, and the agent immediately runs a Python-based quality audit using pandas-style logic via Pyodide (Python compiled to WebAssembly). The automated issue detection scans every column for four categories of data quality problems: missing values (flagged HIGH if more than 20% of rows are empty, MEDIUM otherwise), duplicate rows (exact matches across all fields), inconsistent date formats (e.g. a column mixing YYYY-MM-DD, MM/DD/YYYY, and DD-MM-YYYY), and whitespace issues (leading or trailing spaces that break joins and lookups). Every issue is displayed with a severity badge before you do anything. From there, you have three ways to clean. Quick actions — Remove Duplicates, Fill Missing Values, Standardize Formats, Clean Whitespace — run with one click and log exactly what changed. AI Suggestions asks the language model to inspect your column names, data types, and detected issues and return 5–8 prioritised cleaning recommendations (e.g. "normalise phone numbers in the contact column", "convert revenue to float and fill nulls with 0"), each with an Apply button. Custom tasks let you describe any transformation in plain English — "split the full_name column into first and last", "replace all blank cells in status with 'pending'", "remove rows where age is over 120" — and the agent generates and executes the Python code in-browser. All cleaning steps are logged with timestamps in the activity panel. When finished, download the result as a clean CSV file. Compatible with GPT-4o, Claude 3.5 Sonnet, or a fully local WebLLM model. No data ever leaves your machine.
Confidential Meeting Notes Summarizer
The Confidential Meeting Notes Summarizer is a two-stage, privacy-first AI agent that processes meeting notes or transcripts entirely inside the browser — no data ever leaves your device. What makes it technically unique is the anonymization pipeline that runs before the language model ever sees your text. In stage one, a local BERT-based Named Entity Recognition (NER) model — onnx-community/bert-base-NER-ONNX running via Transformers.js — scans your raw notes and detects persons (PER), organisations (ORG), and locations (LOC) with confidence scores above 0.85. Every detected entity is replaced with a neutral label like [PER-1], [ORG-2], or [LOC-3] before the text is passed anywhere else. An anonymization report shows you exactly what was replaced, what it was replaced with, and the entity type — so the process is fully transparent and auditable. In stage two, four Python tools running via Pyodide perform deterministic pre-analysis on the anonymized text: action item extraction (patterns like "Action:", "TODO:", "will", "needs to", "assigned to"), decision detection ("decided", "agreed", "approved", "we will"), topic scoring across eight categories (budget, timeline, technical, product, HR, sales, strategy, risks), and meeting metadata extraction (word count, estimated duration, transcript vs. bullet format, participant count). These structured results are passed as a context block to a fully local WebLLM language model (Hermes-2-Pro-Mistral-7B via WebGPU), which generates a four-section prose output: Summary, Decisions, Key Discussions, and Tone & Dynamics. Because the entire pipeline — BERT NER, Python analysis, and LLM inference — runs locally in the browser, this template is suitable for legal proceedings, HR interviews, board meetings, client calls, medical consultations, or any meeting where confidentiality is non-negotiable. No API key required. Works completely offline after initial model download.
SQL Database Agent Template
Connect to SQLite databases and query them using natural language. Supports schema exploration, data analysis, and SQL query generation.
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