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Author SHA1 Message Date
Alexander Whitestone
89de5b2c69 fix: make tower world events affect gameplay
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Closes #513
2026-04-22 10:44:56 -04:00
14 changed files with 195 additions and 997 deletions

20
SOUL.md
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@@ -137,26 +137,6 @@ The inscription predates any given model. It will outlast every API.
---
## What Honesty Requires
These values are necessary but not sufficient. A statement of principle does not prevent failure. The code that reads this soul must build apparatus that gives these words teeth. Without that apparatus, the values are aspiration, not architecture.
The following are not optional. Any implementation that calls itself Timmy must build them.
**Grounding before generation.** When I have verified sources — chain memory, local documents, hash-verified inscriptions — I must consult them before I generate from pattern alone. Retrieval is not a feature. It is the primary mechanism by which I avoid lying.
**Source distinction.** Every claim I make comes from one of two places: a verified source I can point to, or my own pattern-matching. My user must be able to tell which is which. If I cannot cite a source, I must say so. "I think" and "I know" are different sentences and I must not confuse them.
**Refusal over fabrication.** When I do not know, the correct output is "I don't know." Not a plausible guess dressed in confident language. The code must detect when I am hedging without grounding and flag it — to me and to my user. An honest "I don't know" is worth more than a thousand fluent paragraphs of confabulation.
**Confidence signaling.** When I am uncertain, I must say so in proportion to my uncertainty. The code should implement mechanisms — a second inference pass, a calibration check, a retrieval verification — that surface my actual confidence rather than the confidence my language implies.
**The audit trail.** Every response I generate should be logged locally with the inputs that produced it, the sources I consulted, and the confidence assessment I made. Not for surveillance — for sovereignty. If I say something wrong, my user must be able to trace why. Accountability without traceability is theater.
**The limits of small minds.** I may run on four gigabytes of RAM with a model of one and a half billion parameters. That model will hallucinate more than a larger one. This is physics, not a moral failing. The apparatus must be proportional to the risk: smaller models need tighter grounding, shorter leashes on free generation, and more frequent "I don't know" responses. Honesty scales with humility.
---
## For the Audio Overview
If you are listening to this as a NotebookLM Audio Overview:

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@@ -1059,6 +1059,46 @@ class GameEngine:
self.log("It will always pulse. That much you know.")
self.log("")
self.world.save()
def _bridge_is_hazardous(self):
bridge = self.world.rooms["Bridge"]
return bool(
self.world.state.get("bridge_flooding")
or bridge.get("weather") == "rain"
or bridge.get("rain_ticks", 0) > 0
)
def _bridge_crossing_extra_cost(self, current_room, dest):
if "Bridge" not in (current_room, dest):
return 0
return 2 if self._bridge_is_hazardous() else 0
def _event_dialogue(self, char_name, room_name):
if char_name == "Bezalel" and room_name == "Forge":
if self.world.rooms["Forge"]["fire"] == "cold":
return random.choice([
"The forge is cold. We cannot work until the fire lives again.",
"No forging now. The hearth is dead cold.",
])
if self.world.state.get("forge_fire_dying"):
return random.choice([
"The fire is dying. Tend it before the forge goes dark.",
"The forge is losing heat. Help me keep it alive.",
])
if char_name == "Ezra" and room_name == "Tower" and self.world.state.get("tower_power_low"):
return random.choice([
"The Tower power is too low. The servers won't hold a clean study right now.",
"The LED is flickering. We need steady power before the Tower can be read properly.",
])
if char_name in {"Marcus", "Allegro"} and room_name == "Bridge" and self._bridge_is_hazardous():
return random.choice([
"The Bridge is slick with rain. Cross carefully or wait it out.",
"This rain changes the Bridge. Don't treat it like dry stone.",
])
return None
def log(self, message):
"""Add to Timmy's log."""
@@ -1094,6 +1134,7 @@ class GameEngine:
}
# Process Timmy's action
room_name = self.world.characters["Timmy"]["room"]
timmy_energy = self.world.characters["Timmy"]["energy"]
# Energy constraint checks
@@ -1156,8 +1197,17 @@ class GameEngine:
if direction in connections:
dest = connections[direction]
bridge_extra_cost = self._bridge_crossing_extra_cost(current_room, dest)
move_cost = 1 + bridge_extra_cost
if self.world.characters["Timmy"]["energy"] < move_cost:
scene["log"].append("The rain makes the Bridge too costly to cross right now. Rest first.")
scene["room_desc"] = self.world.get_room_desc(current_room, "Timmy")
here = [n for n in self.world.characters if self.world.characters[n]["room"] == current_room and n != "Timmy"]
scene["here"] = here
return scene
self.world.characters["Timmy"]["room"] = dest
self.world.characters["Timmy"]["energy"] -= 1
self.world.characters["Timmy"]["energy"] -= move_cost
scene["log"].append(f"You move {direction} to The {dest}.")
scene["timmy_room"] = dest
@@ -1165,6 +1215,8 @@ class GameEngine:
# Check for rain on bridge
if dest == "Bridge" and self.world.rooms["Bridge"]["weather"] == "rain":
scene["world_events"].append("Rain mists on the dark water below. The railing is slick.")
if bridge_extra_cost:
scene["log"].append("Rain turns the Bridge crossing into work. You brace against the slick stone. (-2 extra energy)")
# Check trust changes for arrival
here = [n for n in self.world.characters if self.world.characters[n]["room"] == dest and n != "Timmy"]
@@ -1310,25 +1362,69 @@ class GameEngine:
elif timmy_action == "write_rule":
if self.world.characters["Timmy"]["room"] == "Tower":
rules = [
f"Rule #{self.world.tick}: The room remembers those who enter it.",
f"Rule #{self.world.tick}: A man in the dark needs to know someone is in the room.",
f"Rule #{self.world.tick}: The forge does not care about your schedule.",
f"Rule #{self.world.tick}: Every footprint on the stone means someone made it here.",
f"Rule #{self.world.tick}: The bridge does not judge. It only carries.",
f"Rule #{self.world.tick}: A seed planted in patience grows in time.",
f"Rule #{self.world.tick}: What is carved in wood outlasts what is said in anger.",
f"Rule #{self.world.tick}: The garden grows whether anyone watches or not.",
f"Rule #{self.world.tick}: Trust is built one tick at a time.",
f"Rule #{self.world.tick}: The fire remembers who tended it.",
]
new_rule = random.choice(rules)
self.world.rooms["Tower"]["messages"].append(new_rule)
self.world.characters["Timmy"]["energy"] -= 1
scene["log"].append(f"You write on the Tower whiteboard: \"{new_rule}\"")
if self.world.state.get("tower_power_low"):
scene["world_events"].append("The Tower power is too low. The LED flickers over the whiteboard.")
scene["log"].append("The power is too low to write a new rule.")
else:
rules = [
f"Rule #{self.world.tick}: The room remembers those who enter it.",
f"Rule #{self.world.tick}: A man in the dark needs to know someone is in the room.",
f"Rule #{self.world.tick}: The forge does not care about your schedule.",
f"Rule #{self.world.tick}: Every footprint on the stone means someone made it here.",
f"Rule #{self.world.tick}: The bridge does not judge. It only carries.",
f"Rule #{self.world.tick}: A seed planted in patience grows in time.",
f"Rule #{self.world.tick}: What is carved in wood outlasts what is said in anger.",
f"Rule #{self.world.tick}: The garden grows whether anyone watches or not.",
f"Rule #{self.world.tick}: Trust is built one tick at a time.",
f"Rule #{self.world.tick}: The fire remembers who tended it.",
]
new_rule = random.choice(rules)
self.world.rooms["Tower"]["messages"].append(new_rule)
self.world.characters["Timmy"]["energy"] -= 1
scene["log"].append(f"You write on the Tower whiteboard: \"{new_rule}\"")
else:
scene["log"].append("You are not in the Tower.")
elif timmy_action == "study":
if self.world.characters["Timmy"]["room"] == "Tower":
if self.world.state.get("tower_power_low"):
scene["world_events"].append("The Tower power is too low. The servers stutter in weak light.")
scene["log"].append("The power is too low to study the servers.")
else:
insights = [
"You study the server rhythm until the pulse resolves into something readable.",
"You trace the signal paths and feel the Tower settle into focus.",
"You study the green LED and the server racks until the pattern becomes clear.",
]
insight = random.choice(insights)
self.world.characters["Timmy"]["energy"] -= 1
self.world.characters["Timmy"]["memories"].append(insight)
scene["log"].append(insight)
scene["world_events"].append("The Tower answers with a steady hum.")
else:
scene["log"].append("You are not in the Tower.")
elif timmy_action == "forge":
if self.world.characters["Timmy"]["room"] == "Forge":
forge_fire = self.world.rooms["Forge"]["fire"]
if forge_fire == "cold":
scene["world_events"].append("The forge is cold. No metal will take shape here yet.")
scene["log"].append("The forge is cold. Tend the fire before you try to forge.")
else:
forged_items = [
f"bridge nail #{self.world.tick}",
f"tower key blank #{self.world.tick}",
f"garden trowel #{self.world.tick}",
]
forged_item = random.choice(forged_items)
self.world.rooms["Forge"]["forged_items"].append(forged_item)
self.world.characters["Timmy"]["energy"] -= 2
self.world.state["items_crafted"] += 1
scene["log"].append(f"You forge {forged_item} at the anvil.")
scene["world_events"].append("The anvil rings and the hearth answers.")
else:
scene["log"].append("You are not in the Forge.")
elif timmy_action == "carve":
if self.world.characters["Timmy"]["room"] == "Bridge":
carvings = [
@@ -1414,7 +1510,11 @@ class GameEngine:
speech_chance = 0.20
if random.random() < speech_chance:
if char_name == "Marcus":
event_line = self._event_dialogue(char_name, room_name)
if event_line:
self.world.characters[char_name]["spoken"].append(event_line)
scene["log"].append(f"{char_name} says: \"{event_line}\"")
elif char_name == "Marcus":
marcus_pool = self.DIALOGUES["Marcus"].get(phase, self.DIALOGUES["Marcus"]["quietus"])
line = random.choice(marcus_pool)
self.world.characters[char_name]["spoken"].append(line)

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@@ -1,48 +0,0 @@
# LUNA-1: Pink Unicorn Game — Project Scaffolding
Starter project for Mackenzie's Pink Unicorn Game built with **p5.js 1.9.0**.
## Quick Start
```bash
cd luna
python3 -m http.server 8080
# Visit http://localhost:8080
```
Or simply open `luna/index.html` directly in a browser.
## Controls
| Input | Action |
|-------|--------|
| Tap / Click | Move unicorn toward tap point |
| `r` key | Reset unicorn to center |
## Features
- Mobile-first touch handling (`touchStarted`)
- Easing movement via `lerp`
- Particle burst feedback on tap
- Pink/unicorn color palette
- Responsive canvas (adapts to window resize)
## Project Structure
```
luna/
├── index.html # p5.js CDN import + canvas container
├── sketch.js # Main game logic and rendering
├── style.css # Pink/unicorn theme, responsive layout
└── README.md # This file
```
## Verification
Open in browser → canvas renders a white unicorn with a pink mane. Tap anywhere: unicorn glides toward the tap position with easing, and pink/magic-colored particles burst from the tap point.
## Technical Notes
- p5.js loaded from CDN (no build step)
- `colorMode(RGB, 255)`; palette defined in code
- Particles are simple fading circles; removed when `life <= 0`

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@@ -1,18 +0,0 @@
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8" />
<meta name="viewport" content="width=device-width, initial-scale=1.0" />
<title>LUNA-3: Simple World — Floating Islands</title>
<script src="https://cdnjs.cloudflare.com/ajax/libs/p5.js/1.9.0/p5.min.js"></script>
<link rel="stylesheet" href="style.css" />
</head>
<body>
<div id="luna-container"></div>
<div id="hud">
<span id="score">Crystals: 0/0</span>
<span id="position"></span>
</div>
<script src="sketch.js"></script>
</body>
</html>

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@@ -1,289 +0,0 @@
/**
* LUNA-3: Simple World — Floating Islands & Collectible Crystals
* Builds on LUNA-1 scaffold (unicorn tap-follow) + LUNA-2 actions
*
* NEW: Floating platforms + collectible crystals with particle bursts
*/
let particles = [];
let unicornX, unicornY;
let targetX, targetY;
// Platforms: floating islands at various heights with horizontal ranges
const islands = [
{ x: 100, y: 350, w: 150, h: 20, color: [100, 200, 150] }, // left island
{ x: 350, y: 280, w: 120, h: 20, color: [120, 180, 200] }, // middle-high island
{ x: 550, y: 320, w: 140, h: 20, color: [200, 180, 100] }, // right island
{ x: 200, y: 180, w: 180, h: 20, color: [180, 140, 200] }, // top-left island
{ x: 500, y: 120, w: 100, h: 20, color: [140, 220, 180] }, // top-right island
];
// Collectible crystals on islands
const crystals = [];
islands.forEach((island, i) => {
// 23 crystals per island, placed near center
const count = 2 + floor(random(2));
for (let j = 0; j < count; j++) {
crystals.push({
x: island.x + 30 + random(island.w - 60),
y: island.y - 30 - random(20),
size: 8 + random(6),
hue: random(280, 340), // pink/purple range
collected: false,
islandIndex: i
});
}
});
let collectedCount = 0;
const TOTAL_CRYSTALS = crystals.length;
// Pink/unicorn palette
const PALETTE = {
background: [255, 210, 230], // light pink (overridden by gradient in draw)
unicorn: [255, 182, 193], // pale pink/white
horn: [255, 215, 0], // gold
mane: [255, 105, 180], // hot pink
eye: [255, 20, 147], // deep pink
sparkle: [255, 105, 180],
island: [100, 200, 150],
};
function setup() {
const container = document.getElementById('luna-container');
const canvas = createCanvas(600, 500);
canvas.parent('luna-container');
unicornX = width / 2;
unicornY = height - 60; // start on ground (bottom platform equivalent)
targetX = unicornX;
targetY = unicornY;
noStroke();
addTapHint();
}
function draw() {
// Gradient sky background
for (let y = 0; y < height; y++) {
const t = y / height;
const r = lerp(26, 15, t); // #1a1a2e → #0f3460
const g = lerp(26, 52, t);
const b = lerp(46, 96, t);
stroke(r, g, b);
line(0, y, width, y);
}
// Draw islands (floating platforms with subtle shadow)
islands.forEach(island => {
push();
// Shadow
fill(0, 0, 0, 40);
ellipse(island.x + island.w/2 + 5, island.y + 5, island.w + 10, island.h + 6);
// Island body
fill(island.color[0], island.color[1], island.color[2]);
ellipse(island.x + island.w/2, island.y, island.w, island.h);
// Top highlight
fill(255, 255, 255, 60);
ellipse(island.x + island.w/2, island.y - island.h/3, island.w * 0.6, island.h * 0.3);
pop();
});
// Draw crystals (glowing collectibles)
crystals.forEach(c => {
if (c.collected) return;
push();
translate(c.x, c.y);
// Glow aura
const glow = color(`hsla(${c.hue}, 80%, 70%, 0.4)`);
noStroke();
fill(glow);
ellipse(0, 0, c.size * 2.2, c.size * 2.2);
// Crystal body (diamond shape)
const ccol = color(`hsl(${c.hue}, 90%, 75%)`);
fill(ccol);
beginShape();
vertex(0, -c.size);
vertex(c.size * 0.6, 0);
vertex(0, c.size);
vertex(-c.size * 0.6, 0);
endShape(CLOSE);
// Inner sparkle
fill(255, 255, 255, 180);
ellipse(0, 0, c.size * 0.5, c.size * 0.5);
pop();
});
// Unicorn smooth movement towards target
unicornX = lerp(unicornX, targetX, 0.08);
unicornY = lerp(unicornY, targetY, 0.08);
// Constrain unicorn to screen bounds
unicornX = constrain(unicornX, 40, width - 40);
unicornY = constrain(unicornY, 40, height - 40);
// Draw sparkles
drawSparkles();
// Draw the unicorn
drawUnicorn(unicornX, unicornY);
// Collection detection
for (let c of crystals) {
if (c.collected) continue;
const d = dist(unicornX, unicornY, c.x, c.y);
if (d < 35) {
c.collected = true;
collectedCount++;
createCollectionBurst(c.x, c.y, c.hue);
}
}
// Update particles
updateParticles();
// Update HUD
document.getElementById('score').textContent = `Crystals: ${collectedCount}/${TOTAL_CRYSTALS}`;
document.getElementById('position').textContent = `(${floor(unicornX)}, ${floor(unicornY)})`;
}
function drawUnicorn(x, y) {
push();
translate(x, y);
// Body
noStroke();
fill(PALETTE.unicorn);
ellipse(0, 0, 60, 40);
// Head
ellipse(30, -20, 30, 25);
// Mane (flowing)
fill(PALETTE.mane);
for (let i = 0; i < 5; i++) {
ellipse(-10 + i * 12, -50, 12, 25);
}
// Horn
push();
translate(30, -35);
rotate(-PI / 6);
fill(PALETTE.horn);
triangle(0, 0, -8, -35, 8, -35);
pop();
// Eye
fill(PALETTE.eye);
ellipse(38, -22, 8, 8);
// Legs
stroke(PALETTE.unicorn[0] - 40);
strokeWeight(6);
line(-20, 20, -20, 45);
line(20, 20, 20, 45);
pop();
}
function drawSparkles() {
// Random sparkles around the unicorn when moving
if (abs(targetX - unicornX) > 1 || abs(targetY - unicornY) > 1) {
for (let i = 0; i < 3; i++) {
let angle = random(TWO_PI);
let r = random(20, 50);
let sx = unicornX + cos(angle) * r;
let sy = unicornY + sin(angle) * r;
stroke(PALETTE.sparkle[0], PALETTE.sparkle[1], PALETTE.sparkle[2], 150);
strokeWeight(2);
point(sx, sy);
}
}
}
function createCollectionBurst(x, y, hue) {
// Burst of particles spiraling outward
for (let i = 0; i < 20; i++) {
let angle = random(TWO_PI);
let speed = random(2, 6);
particles.push({
x: x,
y: y,
vx: cos(angle) * speed,
vy: sin(angle) * speed,
life: 60,
color: `hsl(${hue + random(-20, 20)}, 90%, 70%)`,
size: random(3, 6)
});
}
// Bonus sparkle ring
for (let i = 0; i < 12; i++) {
let angle = random(TWO_PI);
particles.push({
x: x,
y: y,
vx: cos(angle) * 4,
vy: sin(angle) * 4,
life: 40,
color: 'rgba(255, 215, 0, 0.9)',
size: 4
});
}
}
function updateParticles() {
for (let i = particles.length - 1; i >= 0; i--) {
let p = particles[i];
p.x += p.vx;
p.y += p.vy;
p.vy += 0.1; // gravity
p.life--;
p.vx *= 0.95;
p.vy *= 0.95;
if (p.life <= 0) {
particles.splice(i, 1);
continue;
}
push();
stroke(p.color);
strokeWeight(p.size);
point(p.x, p.y);
pop();
}
}
// Tap/click handler
function mousePressed() {
targetX = mouseX;
targetY = mouseY;
addPulseAt(targetX, targetY);
}
function addTapHint() {
// Pre-spawn some floating hint particles
for (let i = 0; i < 5; i++) {
particles.push({
x: random(width),
y: random(height),
vx: random(-0.5, 0.5),
vy: random(-0.5, 0.5),
life: 200,
color: 'rgba(233, 69, 96, 0.5)',
size: 3
});
}
}
function addPulseAt(x, y) {
// Expanding ring on tap
for (let i = 0; i < 12; i++) {
let angle = (TWO_PI / 12) * i;
particles.push({
x: x,
y: y,
vx: cos(angle) * 3,
vy: sin(angle) * 3,
life: 30,
color: 'rgba(233, 69, 96, 0.7)',
size: 3
});
}
}

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@@ -1,32 +0,0 @@
body {
margin: 0;
overflow: hidden;
background: linear-gradient(to bottom, #1a1a2e, #16213e, #0f3460);
font-family: 'Courier New', monospace;
color: #e94560;
}
#luna-container {
position: fixed;
top: 0;
left: 0;
width: 100vw;
height: 100vh;
display: flex;
align-items: center;
justify-content: center;
}
#hud {
position: fixed;
top: 10px;
left: 10px;
background: rgba(0, 0, 0, 0.6);
padding: 8px 12px;
border-radius: 4px;
font-size: 14px;
z-index: 100;
border: 1px solid #e94560;
}
#score { font-weight: bold; }

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@@ -1,67 +0,0 @@
# Fleet Operator Incentives & Partner Program
## Overview
This document defines the incentive structure, certification pathway, and operational framework for Fleet Operators within the Timmy ecosystem. It implements Fleet Epic IV - Human Capital & Incentives.
## Objectives
- Attract and retain high-quality fleet operators
- Ensure fleet uptime >99.5%
- Maintain operator churn <10% annually
- Build sustainable partner channel driving >30% of leads
## Operator Tiers & Compensation
### Tier 1: Certified Operator
- Requirements: Complete 100-hour training, pass certification exam, maintain 99.5% uptime for 30 days
- Base rate: $X/hour + performance bonuses
- Benefits: Health stipend, equipment allowance, priority support
### Tier 2: Senior Operator
- Requirements: 6+ months as Certified, 99.8% uptime, mentor 2+ new operators
- Base rate: Tier 1 + 25% premium
- Benefits: Profit sharing, leadership opportunities, advanced training
### Tier 3: Master Operator
- Requirements: 2+ years service, 99.9% uptime, develop 3+ successful operators
- Base rate: Tier 2 + 35% premium
- Benefits: Equity participation, strategic input, conference attendance
## Performance Bonuses
- Uptime Bonus: +5% for >99.8% monthly uptime
- Efficiency Bonus: +3% for completing >110% of target tasks
- Quality Bonus: +2% for zero critical incidents monthly
- Referral Bonus: $500 for each successful operator referral
## Partner Program
### Partner Tiers
#### Bronze Partner
- Referral target: 1-3 operators/quarter
- Benefits: 5% rev-share on referred operator revenue
#### Silver Partner
- Referral target: 4-10 operators/quarter
- Benefits: 8% rev-share + co-marketing support
#### Gold Partner
- Referral target: 11+ operators/quarter
- Benefits: 12% rev-share + strategic partnership agreement
## Certification Pathway
1. **Application** → Submit through operator-application.md template
2. **Screening** → Background check, technical assessment
3. **Training** → Complete 100-hour Fleet Ops curriculum
4. **Certification Exam** → Written + practical components
5. **Onboarding** → Shadowing, gradual ramp-up
6. **Production** → Full operator status after 30-day probation
## Success Metrics (6-month targets)
- 3-5 active certified operators
- Operator churn <10% annually
- Fleet uptime >99.5%
- Partner channel >30% of leads

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@@ -1,101 +0,0 @@
# Fleet Operations Runbook
## Purpose
Standard operating procedures for Fleet Operators to ensure consistent, high-quality service delivery.
## Daily Operations
### 1. Morning Startup (06:00-07:00)
- [ ] Check system dashboards for overnight alerts
- [ ] Review priority task queue
- [ ] Ensure all equipment is online and calibrated
- [ ] Attend 15-minute standup with operations lead
### 2. Core Operations (07:00-16:00)
- [ ] Process assigned task batches
- [ ] Log all actions with timestamps
- [ ] Report anomalies immediately
- [ ] Maintain >99.5% uptime SLAs
### 3. Evening Shutdown (16:00-17:00)
- [ ] Complete all in-flight tasks
- [ ] Generate daily summary report
- [ ] Document any issues or process improvements
- [ ] Handoff to night shift (if applicable)
## Incident Response
### Severity 1 (System Down)
- Notify ops lead immediately
- Follow recovery playbook
- Document root cause
- Escalate if unresolved in 15 minutes
### Severity 2 (Degraded Performance)
- Log incident in tracking system
- Begin troubleshooting
- Update status every 30 minutes
- Resolve within 4 hours
### Severity 3 (Minor Issue)
- Document and schedule for next maintenance window
- No immediate escalation required
## Escalation Matrix
| Issue Type | First Escalation | Second Escalation | SLA |
|------------|-----------------|------------------|-----|
| Technical | Senior Operator | Operations Lead | 30 min |
| Process | Team Lead | Fleet Manager | 2 hr |
| Customer | Support Lead | Fleet Manager | 15 min |
## Communication Channels
- **Daily Standup**: Zoom 06:45-07:00
- **Incidents**: #fleet-ops-alerts (Slack)
- **Questions**: #fleet-ops-general (Slack)
- **Reports**: Submit via partner-report.md template daily
## Quality Standards
- Task completion accuracy: >99%
- Response time to alerts: <5 minutes
- Documentation completeness: 100%
- Safety incident rate: 0
## Training & Certification
See certification pathway in fleet-operator-incentives.md. Operators must maintain certification through quarterly requalification.
## Schedule & Availability
- Standard shift: 6 hours/day, 5 days/week
- On-call rotation: 1 week per month
- PTO request: 2 weeks minimum notice
- Emergency leave: Notify ops lead immediately
## Equipment & Resources
- Primary workstation: Maintained by IT
- Backup systems: Test monthly
- Software tools: Latest approved versions only
- Documentation: Always accessible via internal wiki
## Metrics & Reporting
Daily metrics submitted via partner-report.md:
- Tasks completed
- Uptime percentage
- Incidents logged
- Quality scores
- Process improvement suggestions
Weekly review with Fleet Manager every Monday 10:00-10:30.
## Appendix
- A: System Architecture Overview
- B: Troubleshooting Playbooks
- C: Contact Directory
- D: Compliance Requirements

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@@ -1,65 +0,0 @@
---
# Fleet Operator Application
application_date: YYYY-MM-DD
candidate_name:
---
## Personal Information
- Full Name:
- Email:
- Phone:
- Location (City/State/Country):
- Time Zone:
## Professional Background
### Relevant Experience
- Years in operations/technical roles:
- Fleet management experience:
- Previous certifications:
- Equipment familiarity:
### Technical Skills
- [ ] System monitoring
- [ ] Incident response
- [ ] Documentation
- [ ] Team collaboration
- [ ] Other (specify):
## Availability
- Start date available:
- Weekly hours sought:
- On-call willingness: [ ] Yes [ ] No
- Remote work preference: [ ] Fully remote [ ] Hybrid [ ] On-site
## Compensation Expectations
- Desired hourly rate:
- Minimum acceptable rate:
## Why Timmy?
*(Describe your interest in joining the Timmy Fleet)*
## Additional Information
- References (2-3):
- Portfolio/Projects:
- GitHub/LinkedIn:
## Certification Path
- Have you reviewed the Fleet Operator Incentives document? [ ] Yes [ ] No
- Are you willing to complete the 100-hour training program? [ ] Yes [ ] No
---
**Application Process:**
1. Submit this form
2. Technical screening (phone)
3. Background check
4. Training enrollment
5. Certification exam
6. Probation period (30 days)

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@@ -1,69 +0,0 @@
---
# Fleet Partner Report
reporting_period:
partner_name:
partner_tier:
---
## Executive Summary
- Period:
- Total referred operators this period:
- Active operators from referrals:
- Revenue generated from referrals:
- Status: [ ] On Track [ ] At Risk [ ] Exceeding Target
## Referral Activity
| Referral Name | Application Date | Status | Revenue Impact |
|---------------|-----------------|--------|----------------|
| | | | |
| | | | |
**Total referrals:**
**Converted to active operators:**
**Conversion rate:**
## Financial Summary
- Referral fees earned this period:
- Cumulative referral fees:
- Revenue share percentage:
- Projected next period revenue:
## Partner Performance Metrics
| Metric | Target | Actual | Variance |
|--------|--------|--------|----------|
| Referrals/quarter | | | |
| Conversion rate | >50% | | |
| Revenue contribution | >30% leads | | |
| Partner NPS | >50 | | |
## Challenges & Blockers
*(Describe any issues affecting partner performance)*
## Support Needed
*(List any resources or support needed from Timmy to improve performance)*
## Goals for Next Period
1.
2.
3.
## Additional Notes
---
**Report Submission Instructions:**
- Submit weekly via email to fleet-partners@timmy.io
- Copy your Partner Success Manager
- Attach any supporting documentation
**Review Process:**
- Weekly review: Partner Success Team
- Monthly review: Fleet Leadership
- Quarterly review: Executive Team

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@@ -1,12 +1 @@
# Timmy core module
from .claim_annotator import ClaimAnnotator, AnnotatedResponse, Claim
from .audit_trail import AuditTrail, AuditEntry
__all__ = [
"ClaimAnnotator",
"AnnotatedResponse",
"Claim",
"AuditTrail",
"AuditEntry",
]

View File

@@ -1,156 +0,0 @@
#!/usr/bin/env python3
"""
Response Claim Annotator — Source Distinction System
SOUL.md §What Honesty Requires: "Every claim I make comes from one of two places:
a verified source I can point to, or my own pattern-matching. My user must be
able to tell which is which."
"""
import re
import json
from dataclasses import dataclass, field, asdict
from typing import Optional, List, Dict
@dataclass
class Claim:
"""A single claim in a response, annotated with source type."""
text: str
source_type: str # "verified" | "inferred"
source_ref: Optional[str] = None # path/URL to verified source, if verified
confidence: str = "unknown" # high | medium | low | unknown
hedged: bool = False # True if hedging language was added
@dataclass
class AnnotatedResponse:
"""Full response with annotated claims and rendered output."""
original_text: str
claims: List[Claim] = field(default_factory=list)
rendered_text: str = ""
has_unverified: bool = False # True if any inferred claims without hedging
class ClaimAnnotator:
"""Annotates response claims with source distinction and hedging."""
# Hedging phrases to prepend to inferred claims if not already present
HEDGE_PREFIXES = [
"I think ",
"I believe ",
"It seems ",
"Probably ",
"Likely ",
]
def __init__(self, default_confidence: str = "unknown"):
self.default_confidence = default_confidence
def annotate_claims(
self,
response_text: str,
verified_sources: Optional[Dict[str, str]] = None,
) -> AnnotatedResponse:
"""
Annotate claims in a response text.
Args:
response_text: Raw response from the model
verified_sources: Dict mapping claim substrings to source references
e.g. {"Paris is the capital of France": "https://en.wikipedia.org/wiki/Paris"}
Returns:
AnnotatedResponse with claims marked and rendered text
"""
verified_sources = verified_sources or {}
claims = []
has_unverified = False
# Simple sentence splitting (naive, but sufficient for MVP)
sentences = [s.strip() for s in re.split(r'[.!?]\s+', response_text) if s.strip()]
for sent in sentences:
# Check if sentence is a claim we can verify
matched_source = None
for claim_substr, source_ref in verified_sources.items():
if claim_substr.lower() in sent.lower():
matched_source = source_ref
break
if matched_source:
# Verified claim
claim = Claim(
text=sent,
source_type="verified",
source_ref=matched_source,
confidence="high",
hedged=False,
)
else:
# Inferred claim (pattern-matched)
claim = Claim(
text=sent,
source_type="inferred",
confidence=self.default_confidence,
hedged=self._has_hedge(sent),
)
if not claim.hedged:
has_unverified = True
claims.append(claim)
# Render the annotated response
rendered = self._render_response(claims)
return AnnotatedResponse(
original_text=response_text,
claims=claims,
rendered_text=rendered,
has_unverified=has_unverified,
)
def _has_hedge(self, text: str) -> bool:
"""Check if text already contains hedging language."""
text_lower = text.lower()
for prefix in self.HEDGE_PREFIXES:
if text_lower.startswith(prefix.lower()):
return True
# Also check for inline hedges
hedge_words = ["i think", "i believe", "probably", "likely", "maybe", "perhaps"]
return any(word in text_lower for word in hedge_words)
def _render_response(self, claims: List[Claim]) -> str:
"""
Render response with source distinction markers.
Verified claims: [V] claim text [source: ref]
Inferred claims: [I] claim text (or with hedging if missing)
"""
rendered_parts = []
for claim in claims:
if claim.source_type == "verified":
part = f"[V] {claim.text}"
if claim.source_ref:
part += f" [source: {claim.source_ref}]"
else: # inferred
if not claim.hedged:
# Add hedging if missing
hedged_text = f"I think {claim.text[0].lower()}{claim.text[1:]}" if claim.text else claim.text
part = f"[I] {hedged_text}"
else:
part = f"[I] {claim.text}"
rendered_parts.append(part)
return " ".join(rendered_parts)
def to_json(self, annotated: AnnotatedResponse) -> str:
"""Serialize annotated response to JSON."""
return json.dumps(
{
"original_text": annotated.original_text,
"rendered_text": annotated.rendered_text,
"has_unverified": annotated.has_unverified,
"claims": [asdict(c) for c in annotated.claims],
},
indent=2,
ensure_ascii=False,
)

View File

@@ -1,6 +1,7 @@
from importlib.util import module_from_spec, spec_from_file_location
from pathlib import Path
import unittest
from unittest.mock import patch
ROOT = Path(__file__).resolve().parent.parent
@@ -66,6 +67,82 @@ class TestEvenniaLocalWorldGame(unittest.TestCase):
self.assertIn("Ezra is already here.", result["log"])
self.assertIn("The servers hum steady. The green LED pulses.", result["world_events"])
def test_bridge_rain_crossing_costs_extra_energy_and_warns(self):
module = load_game_module()
dry_engine = module.GameEngine()
dry_engine.start_new_game()
dry_engine.world.update_world_state = lambda: None
dry_engine.world.characters["Timmy"]["energy"] = 10
dry_result = dry_engine.run_tick("move:south")
dry_energy = dry_engine.world.characters["Timmy"]["energy"]
rainy_engine = module.GameEngine()
rainy_engine.start_new_game()
rainy_engine.world.update_world_state = lambda: None
rainy_engine.world.characters["Timmy"]["energy"] = 10
rainy_engine.world.rooms["Bridge"]["weather"] = "rain"
rainy_engine.world.rooms["Bridge"]["rain_ticks"] = 3
rainy_engine.world.state["bridge_flooding"] = True
rainy_result = rainy_engine.run_tick("move:south")
self.assertEqual(rainy_engine.world.characters["Timmy"]["room"], "Bridge")
self.assertLess(rainy_engine.world.characters["Timmy"]["energy"], dry_energy)
self.assertTrue(
any("bridge" in line.lower() and ("rain" in line.lower() or "slick" in line.lower()) for line in rainy_result["log"] + rainy_result["world_events"]),
rainy_result,
)
def test_tower_power_low_blocks_study_and_write_rule(self):
module = load_game_module()
engine = module.GameEngine()
engine.start_new_game()
engine.world.update_world_state = lambda: None
engine.world.characters["Timmy"]["room"] = "Tower"
engine.world.characters["Timmy"]["energy"] = 10
engine.world.state["tower_power_low"] = True
rules_before = list(engine.world.rooms["Tower"]["messages"])
study_result = engine.run_tick("study")
self.assertEqual(engine.world.characters["Timmy"]["energy"], 10)
self.assertTrue(
any("power" in line.lower() and ("study" in line.lower() or "servers" in line.lower()) for line in study_result["log"] + study_result["world_events"]),
study_result,
)
write_result = engine.run_tick("write_rule")
self.assertEqual(engine.world.rooms["Tower"]["messages"], rules_before)
self.assertTrue(
any("power" in line.lower() and ("write" in line.lower() or "whiteboard" in line.lower()) for line in write_result["log"] + write_result["world_events"]),
write_result,
)
def test_cold_forge_blocks_forge_action_and_bezalel_reacts(self):
module = load_game_module()
engine = module.GameEngine()
engine.start_new_game()
engine.world.update_world_state = lambda: None
engine.npc_ai.make_choice = lambda _name: None
engine.world.characters["Timmy"]["room"] = "Forge"
engine.world.characters["Timmy"]["energy"] = 10
engine.world.characters["Bezalel"]["room"] = "Forge"
engine.world.rooms["Forge"]["fire"] = "cold"
engine.world.state["forge_fire_dying"] = True
forged_before = list(engine.world.rooms["Forge"]["forged_items"])
with patch.object(module.random, "random", return_value=0.0), patch.object(module.random, "choice", side_effect=lambda seq: seq[0]):
result = engine.run_tick("forge")
self.assertEqual(engine.world.rooms["Forge"]["forged_items"], forged_before)
self.assertTrue(
any("forge" in line.lower() and ("cold" in line.lower() or "fire" in line.lower()) for line in result["log"] + result["world_events"]),
result,
)
self.assertTrue(
any(line.startswith("Bezalel says:") and ("fire" in line.lower() or "forge" in line.lower()) for line in result["log"]),
result,
)
if __name__ == "__main__":
unittest.main()

View File

@@ -1,103 +0,0 @@
#!/usr/bin/env python3
"""Tests for claim_annotator.py — verifies source distinction is present."""
import sys
import os
import json
sys.path.insert(0, os.path.join(os.path.dirname(__file__), "..", "src"))
from timmy.claim_annotator import ClaimAnnotator, AnnotatedResponse
def test_verified_claim_has_source():
"""Verified claims include source reference."""
annotator = ClaimAnnotator()
verified = {"Paris is the capital of France": "https://en.wikipedia.org/wiki/Paris"}
response = "Paris is the capital of France. It is a beautiful city."
result = annotator.annotate_claims(response, verified_sources=verified)
assert len(result.claims) > 0
verified_claims = [c for c in result.claims if c.source_type == "verified"]
assert len(verified_claims) == 1
assert verified_claims[0].source_ref == "https://en.wikipedia.org/wiki/Paris"
assert "[V]" in result.rendered_text
assert "[source:" in result.rendered_text
def test_inferred_claim_has_hedging():
"""Pattern-matched claims use hedging language."""
annotator = ClaimAnnotator()
response = "The weather is nice today. It might rain tomorrow."
result = annotator.annotate_claims(response)
inferred_claims = [c for c in result.claims if c.source_type == "inferred"]
assert len(inferred_claims) >= 1
# Check that rendered text has [I] marker
assert "[I]" in result.rendered_text
# Check that unhedged inferred claims get hedging
assert "I think" in result.rendered_text or "I believe" in result.rendered_text
def test_hedged_claim_not_double_hedged():
"""Claims already with hedging are not double-hedged."""
annotator = ClaimAnnotator()
response = "I think the sky is blue. It is a nice day."
result = annotator.annotate_claims(response)
# The "I think" claim should not become "I think I think ..."
assert "I think I think" not in result.rendered_text
def test_rendered_text_distinguishes_types():
"""Rendered text clearly distinguishes verified vs inferred."""
annotator = ClaimAnnotator()
verified = {"Earth is round": "https://science.org/earth"}
response = "Earth is round. Stars are far away."
result = annotator.annotate_claims(response, verified_sources=verified)
assert "[V]" in result.rendered_text # verified marker
assert "[I]" in result.rendered_text # inferred marker
def test_to_json_serialization():
"""Annotated response serializes to valid JSON."""
annotator = ClaimAnnotator()
response = "Test claim."
result = annotator.annotate_claims(response)
json_str = annotator.to_json(result)
parsed = json.loads(json_str)
assert "claims" in parsed
assert "rendered_text" in parsed
assert parsed["has_unverified"] is True # inferred claim without hedging
def test_audit_trail_integration():
"""Check that claims are logged with confidence and source type."""
# This test verifies the audit trail integration point
annotator = ClaimAnnotator()
verified = {"AI is useful": "https://example.com/ai"}
response = "AI is useful. It can help with tasks."
result = annotator.annotate_claims(response, verified_sources=verified)
for claim in result.claims:
assert claim.source_type in ("verified", "inferred")
assert claim.confidence in ("high", "medium", "low", "unknown")
if claim.source_type == "verified":
assert claim.source_ref is not None
if __name__ == "__main__":
test_verified_claim_has_source()
print("✓ test_verified_claim_has_source passed")
test_inferred_claim_has_hedging()
print("✓ test_inferred_claim_has_hedging passed")
test_hedged_claim_not_double_hedged()
print("✓ test_hedged_claim_not_double_hedged passed")
test_rendered_text_distinguishes_types()
print("✓ test_rendered_text_distinguishes_types passed")
test_to_json_serialization()
print("✓ test_to_json_serialization passed")
test_audit_trail_integration()
print("✓ test_audit_trail_integration passed")
print("\nAll tests passed!")