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Praesidium2 Executive Summary | Presentation | System Design | Implementation Plan | Reviews | Comments
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Praesidium2
AI-Powered Team Operations for Greater Goods
Every business unit gets its own team of AI agents that work alongside humans — handling operations, building institutional knowledge, and coordinating across departments.
The Problem
⚠

Teams Stretched Thin

Too many operational tasks, too few people. High-value work competes with routine reporting and coordination overhead.

📚

Knowledge Walks Out

When someone leaves, their expertise goes with them. Processes, vendor relationships, institutional context — all lost.

💬

Coordination Is Expensive

Endless meetings, Slack threads, and email chains. Getting alignment on a status update takes days.

⏳

Manual Work Consumes Hours

Report generation, data entry, status tracking, PPC management — repetitive tasks that take time from strategic thinking.

The Vision
Every team gets AI teammates

YOUR TEAM

Projects, Chat, Standups, Approvals, Reports

AI AGENTS

34 agents across 5 teams — memory, skills, tools, coordination

YOUR SYSTEMS

Jira, Confluence, Slack, Amazon, Zoho, GitHub, Google & 45+ more

Agents handle operations. Humans focus on decisions and creativity.
How It Works

React SPA

Dashboard, Chat, Approvals, KPIs

qqq API (Java)

REST, Auth, RBAC

Gateway (Python)

Chat, Tasks, Forge

PostgreSQL

+ pgvector

Workers (Celery)

Anthropic SDK + LangGraph

Redis

Queue + Pub/Sub

92
Database Tables
45+
Integrations
5
Services
In Action — Marketing Team
Bryan Chupp, CMO + 6 WWE Agents
Macho Man Randy Savage coordinates your marketing team
"Every morning at 9 AM, the marketing agents run a daily standup — automatically, no calendar invite needed."
Amazon PPC Competitor Tracking Social Scheduling Content Calendar Analytics
Daily Standup — 9:00 AM
UT
The Undertaker
Good morning team. Let's run through status. Stone Cold, you're up first.
SC
Stone Cold
PPC bids adjusted overnight. ROAS up 12% on top 5 keywords. Budget at 78% for the month.
TR
The Rock
3 product listings optimized. New A+ content published for Q2 launch.
MS
Macho Man
Social queue loaded through Friday. Engagement up 8% week-over-week.
In Action — Engineering Leadership Team
James Maes, CTO + 8 LOTR Agents
Gandalf architects your sprints
"When I'm in a strategy meeting, my agents are still working — monitoring deployments, reviewing PRs, updating Jira."
Code Review CI/CD Test Automation Sprint Planning Documentation
Sprint Lifecycle
1
Planning
Aragorn
2
Daily Standups
Gandalf
3
Code Review
Legolas
4
Retrospective
Frodo
The Tool Forge
Build custom tools without engineering backlogs
Step 1
Describe
→
Step 2
AI Writes
→
Step 3
Test
→
Step 4
Review
→
Step 5
Approve
→
Step 6
Publish
Example
CMO describes "I need a keyword research tool" — agent builds it in 15 minutes
No engineering ticket. No sprint wait. Built, tested, and published — ready for the entire marketing team.
Tool Forge
Chat
I need a tool that pulls Amazon keyword data and generates weekly reports.
Got it. I'll create an Amazon keyword research tool with...
Code
def get_keywords(
  campaign_id,
  date_range
):
  # Query Amazon API
  results = amazon.
Memory & Intelligence
Agents that learn and improve
🛠
Work
→
🔍
Extract
→
🧩
Embed
→
🧠
Recall
Institutional knowledge that never leaves
GANDALF — Lesson Learned
"Sprint velocity drops 20% when we take on more than 3 infrastructure tickets simultaneously. Cap at 2."
STONE COLD — PPC Insight
"Brand keywords convert at 3x the rate of generic. Shift 15% of budget to branded terms in Q2."
Enterprise Ready
🔒

Security + Blind Secrets

HIPAA-ready, AES encryption, OAuth2/OIDC via Authentik. "Blind" secret pipeline — secrets never touch the DB (AWS IRSA)

🤖

Multi-LLM

Anthropic, OpenAI, local models. Route by cost, speed, or capability per task

💰

Cost Tracking

Per agent, per project, per task. Budget alerts when thresholds are exceeded

📈

Datadog Observability

Distributed tracing across 5 services, custom agentic metrics, HIPAA-compliant log scanning

✅

HITL Orchestration

LangGraph checkpointing with tamper-proof approval hashing. Full human control at every step

💬

Human Feedback

Rate and comment on agent output. Feedback flows back to improve quality over time

📊

KPI Dashboard

Real-time business metrics per team, per agent. Track adoption, quality, and ROI

🔄

Rollback & Recovery

Undo agent actions, emergency kill switch, GitOps rollback. Full audit trail

🚨

30/60 Day Kill Gates

Business-value criteria at 30 and 60 days. If agents aren't delivering, deployment pauses

All Five Teams
34 agents across 5 business units
⚙

Tech Team

James Maes, CTO

8 LOTR Agents
📢

Marketing

Bryan Chupp, CMO

6 WWE Agents
🏢

Corp Claw

Chris Chupp, CEO

6 Star Wars Agents
📦

Product Dev

Matt Carpenter, VP

7 Avengers Agents
♥

Me Health

Bryan Potter, VP

7 Grey's Agents
The Numbers
$97-131K
Year 1 Total Cost
$87-170K
Year 2+ Ongoing / Year
8-10 hrs
Per Week Saved to Break Even
~$650
Per Team / Month (Infra)
Each team gains the operational capacity equivalent of 5-10 additional employees — for the cost of a single software subscription.
Timeline
7-phase build plan: Pre-Build + 6 build phases + 1 stabilization phase
Pre-Build

KPI Baseline

Stakeholder sign-off, environment provisioning, baseline capture

Phases 1-2

Core Platform

qqq API (92 tables), auth, Tool Runner, CI/CD, dashboard SPA

Phases 3-4

Agent Runtime

Agent Hydration, Anthropic SDK + LangGraph (scoped), HITL approvals, blind secret pipeline

Phase 5

Integrations + Search

Slack, Jira, GitHub, Semantic Search API, human feedback

Phase 6

Testing + Eng Deploy

Full test suite, Datadog observability, Engineering team goes live

Phase 7

Stabilization + Marketing

Bug fixes, observability tuning, Marketing team onboards

V1.5 (+4-6 wks)

Tool Forge, Memory, Meetings

Advanced features, remaining 3 teams onboard

3
Developers
+
∞
Claude Code Agents
Existing AWS EKS + Faber CI/CD pipeline accelerates everything
What Changes For You
"Your standup runs automatically — you get a summary in Slack."

Agents facilitate meetings, capture action items, and post summaries to the channels you already use.

"Your agents handle Jira, Confluence, and reports — you review and approve."

Agents create tickets, update docs, generate reports, and track status. You stay in the loop with approvals.

"Need a custom tool? Describe it and an agent builds it."

The Tool Forge lets you build exactly the tool you need, with AI assistance, deployed immediately.

"Every agent action goes through your approval queue until you're confident."

Nothing ships without your sign-off. Approve, reject, or request changes on every agent output.

"Rate agent output to continuously improve quality."

Your feedback trains the system. Thumbs up, thumbs down, or detailed comments — every signal makes agents smarter.

Next Steps
📑
Full System Design

Complete technical architecture, data model, and service details
🔧
Implementation Plan

Detailed build timeline, task breakdown, and milestones
📈
Business Case

Independent review with cost analysis, risk assessment, and ROI
💬
Leave Feedback

Comment on any section — your feedback shapes the final design
Questions?
"I'll be here if you need me, sir."
— J.A.R.V.I.S.
P
James Maes
Chief Technology Officer, Greater Goods
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