The Model Is Not the System
Teams fail when chat is the product. Map the system around the model—workflow, context, evaluation, and governance.
The Model Is Not the SystemPrompts → Workflows → Agents → Business Outcomes
Build AI workflows your team can actually repeat
Practical frameworks, templates, and field notes for moving from random prompting to structured AI implementation.
AI Workflow Architecture
Start here
Context Architecture
Define what models see, when, and why—with a context spec your team can implement.
Context ArchitectureDesign an Agent Workflow
Map a business task to bounded tools, handoffs, and eval gates—with a worked example.
Design an Agent WorkflowNew here? Start by role
Route to the right framework, diagnostic, or agent guide for your job.
New here? Start by roleLatest articles
Critique Agent v1.0: Verified Local Code Audits
Critique Agent v1.0 on Ubuntu/Ollama — seven-section validation gate, one repair retry, reject-without-persist, SQLite rows; v1.1 function audit and v1.2 shared runner noted as follow-ups.
AI Tender Response Pipeline
RFP/tender pipeline with legal gates, clause checklist, and redacted section example—no auto-submit in v1.
Corporate Ladder v2.4: Score Trust After Soft Launch
v2.4 tagged release closes soft-launch scoring gaps—run_duration_ms plausibility, filing UX, extended rank ladder through Angel Investor—and invites play on Telegram without claiming implementation maturity.
Critique Agent v0.9: Local Audit Stats
Critique Agent v0.9 on Ubuntu with Ollama, Gemma 12B, and Pydantic AI — v0.8 audit history, new /audit_stats aggregates, and an honest roadmap for repo context.
MCP Server Selection Worksheet
IT-ready worksheet and checklist for selecting MCP servers with security, governance, and operational fit criteria.
Corporate Ladder Soft Launch
Soft-launch field note on Corporate Ladder—now live on Telegram and listed on tApps Center—with how to play, what shipped, and why it stays separate from governed AI workflows.
Governance RACI Worksheet
Copy-paste RACI worksheet to assign accountable owners for AI workflow changes, releases, and incidents.
AI Workflow Eval Checklist
Pre-go-live eval checklist for AI workflows — smoke, pilot, and scale gates with copy-paste worksheet.
Telegram Game Stack
Architecture and deployment playbook for the six-service stack behind Corporate Ladder—GitHub through Telegram—with what to build in each layer and how to reuse the pattern.
Workflow Automation for AI Pipelines
A practical decision guide for selecting workflow automation tooling for AI pipelines using objective criteria to avoid tool sprawl and hidden operating risk.
Agent Orchestrator Operating Model
A practical operating model for the agent orchestrator role, including responsibilities, RACI, control points, and weekly governance rhythms.
Measuring AI Workflow ROI
A practical ROI model for AI workflows using pass rate, time saved, and incident cost with sponsor-ready formulas.
The AI Procurement Freeze
A practical 90-day playbook for pausing AI tool purchases, reducing overlap, and restarting procurement with stage-based governance.
Securing MCP and Agent Tools
A production security playbook for MCP and agent tool access, including allowlists, permission scoping, and prompt injection defense.
Multi-Agent Observability
Practical observability for multi-agent workflows with handoff tracing, failure-mode detection, and governance-ready logs.
LangGraph vs CrewAI vs MS Agent Framework
A production-focused comparison of LangGraph, CrewAI, and Microsoft Agent Framework with selection criteria, trade-offs, and rollout guidance.
MCP for Enterprise Teams
MCP integration for production agents — tools, resources, OAuth boundaries, and injection defense for enterprise teams.
Evaluating Agents with CLEAR
A practical framework for evaluating production agents across cost, latency, efficacy, assurance, and reliability with thresholds and weekly operating rituals.
Explore by topic
Prompt Systems
Registry, testing, and release ops for prompts—not general workflow design.
AI Agents
Agent design, orchestration, and business-ready automation.
AI Governance
Policy, risk, and operating rules for AI inside organizations.
Field notes
Ship logs, diagnostics, and field notes from real deployments.
Case Studies
How teams moved from experiments to controlled AI systems.
Worksheets & checklists
Worksheets and checklists you paste into team rituals—not long playbooks.
Opinion
Perspective on tools, hype, and what actually works.
Framework
Original frameworks for predictable AI outcomes.
Hub: choose your direction
One AI operating system for learning, daily work, automation, marketing, HR, operations, and decisions—plus Corporate Ladder for play.
Plans and accessFirst AI Lesson (opens in new tab)
Enter — guided first steps on the cloud learning hub.
Knowledge Hub (opens in new tab)
Learn — training, methodology, and the AI operating system.
Daily Workflow Library (opens in new tab)
Use — ready-made prompts and workflow templates.
Marketing Content System (opens in new tab)
Create — marketing content prompts and publishing workflows.
HR Workflow System (opens in new tab)
Hire — search, recruitment, and assessment prompts.
Operations Center (opens in new tab)
Manage — prompts and templates for leadership and ops.
Scaling & Decisions (opens in new tab)
Decide — scaling frameworks and decision support.
Corporate Ladder (opens in new tab)
Play — satirical office climb in Telegram.