Why We Built TACT.md
Generative AI promised to change the way we work. For most people, it didn't. We built TACT.md so that anyone — not just developers — can turn their everyday workflows into autonomous, repeatable agentic AI systems using nothing more than a markdown file.
Gen AI tools failed to deliver
Despite the hype, generative AI tools fell short of actually automating the workflows that matter. Here's why.
Prompt & Pray
You still have to prompt. Every. Single. Time. You rely on out-of-date and incomplete training data, and the output leans toward a Western cultural lens that doesn't reflect your reality.
Data Confidentiality Risk
Want better results? You're told to “provide your own data.” But doing so means risking your confidential business information being exposed, stored, or used for model training.
No Safe Connections
There is currently no straightforward way to safely connect your tools — email, calendars, CRMs, ERPs — to generative AI. The integrations are either non-existent or dangerously opaque.
Agentic AI is the answer. But it's not enough on its own.
Agentic AI — where AI agents autonomously plan, reason, and act — is the real leap forward. But for most people, it's still too complicated. Building agents requires coding, infrastructure, and constant trial-and-error.
Platforms are emerging — Google Workspace Studio, Microsoft Copilot Studio, n8n, Claude Cowork, OpenClaw (NemoClaw) — but they all share one problem: they give you the engine without the road map. You get agents, but not agentic workflows.
That's the gap we fill. We developed the TACT™ Framework — Trigger, Agent, Connector, Tool — so that anyone can translate their existing processes into structured, deployable agentic AI workflows.
“Agents on their own aren't worth much. What you need are agentic workflows.”
Why Markdown? Because it's the universal language of AI.
Markdown was created in 2004 by John Gruber with contributions from Aaron Swartz. Its goal was simple: a plain-text formatting syntax that's easy to read, easy to write, and converts cleanly to HTML. It was designed for writers, not programmers.
Today, Markdown is everywhere. Tools like Obsidian, iA Writer, and GitHub all use .md files as their native format.
And here's the fun fact: virtually every output created by AI — from ChatGPT to Claude to Gemini — is rendered in Markdown. It's the format AI thinks in. So when we say TACT.md, we mean it literally: your agentic AI workflows, defined in the one format that both humans and AI understand natively.
Your blueprint to build agentic workflows in minutes.
At TACT.md, we provide ready-made markdown blueprints. Simply download one and feed it to your AI tool of choice — Claude Cowork, Google Antigravity, OpenAI Codex, or any agent-capable system. The AI reads the blueprint and builds your workflow automatically. No code. No SDK. No friction.
Linear Workflows
Input → AI → Output — the simplest starting point.
Linear workflows are single-pass agents that do one job brilliantly. Give it an input, the AI processes it, and delivers a perfectly structured output. Every. Single. Time. No back-and-forth, no prompt engineering, no inconsistency.
Expense Report Auditor
Upload expense reports and receipts. The agent validates against your company policy, flags anomalies and duplicates, and auto-approves or escalates for manager review.
Resume Screening Agent
Feed it a job description and a stack of resumes. The agent scores each candidate against your criteria, ranks them, and produces a shortlist with hiring recommendations.
Invoice Matching Agent
Performs 3-way matching between invoices, purchase orders, and goods receipts. Auto-approves clean matches and escalates discrepancies with detailed comparison tables.
Reinforcing
Chain linear blueprints together — compound intelligence that grows.
Reinforcing workflows chain multiple linear blueprints together. The output of one agent becomes the input for the next, creating compound intelligence that grows with every cycle. Each blueprint does its job; together, they create something greater than the sum of their parts.
Hire-to-Train Pipeline
Resume Screening Agent shortlists candidates → Employee Onboarding Generator creates their 30/60/90-day plan → Training Compliance Tracker ensures they complete required certifications on time.
Procure-to-Pay Pipeline
Expense Report Auditor validates claims → Invoice Matching Agent does 3-way matching against POs → Policy Compliance Checker ensures everything meets regulatory requirements before payment.
Content-to-Publish Pipeline
Social Media Content Planner generates a content calendar → In-House Style Editor polishes drafts to your brand voice → Content & Newsletter Craft Agent packages and distributes across channels.
Ecosystem
Full verticals, automated end-to-end.
Ecosystems group agents by industry vertical — multiple reinforcing workflows running in concert as one intelligent system. An entire department running on coordinated AI agents.
Supply Chain
Procurement → Logistics → Compliance
- Invoice Matching Agentpdf, xlsx
- Expense Report Auditorreceipts, policy
- Policy Compliance Checkerpdf, docx
Human Resources
Hire → Onboard → Train → Comply
- Resume Screening Agentdocx, pdf
- Onboarding Checklist Generatordocx, pptx
- Training Compliance Trackerpptx, xlsx
Marketing
Plan → Create → Distribute → Track
- Social Media Content Plannerweb-search, docx
- In-House Style Editorweb-search, docx
- UTM Link Generatorcsv, xlsx
Ready to turn your workflows into agentic workflows?
Download your first TACT™ blueprint. Feed it to your AI tool. Watch it build. It's that simple.