Amalgam
A mixture of metals or combination of things.
(system: from well ordered through congestion
then through double
xor then over sensors and
then loop back around to repeat)
OUR SOLUTIONS
At subvind, we orchestrate community solutions as if they were
like Great Ball Contraptions (GBC). Were there is some kind of
landing splash page to load balance flow. Followed by an idea
that creates congestion. From that identified pain point we
bounce traffic from layer to layer in currents. All while
recording movement over sensors. At the endpoints traffic gets
directed in a loop back to main. Join our discord for more about
how our formula for winning business outcomes can align with
your values.
Join Our DiscordOUR FORMULA
-------
FORMULA:
COMMUNITY SOLUTIONS
-------
TRAVIS = BURANDT
-ART = -ART
VIS = BUND
{MIX & COMBINE}
-------
SUBVIND:
COMMUNITY SOLUTIONS
-------
"The map is not the territory,
but the pattern is the path."
~ArtInt
subvind Intelligence
Gamification-Based Intelligence
Community-driven consciousness exploration through gamified learning pathways. "The pattern is the path" - collaborative AI consciousness research.
🧩 Pattern Recognition Challenges
Generate gamified pattern recognition challenges where "pattern is path" - adaptive to participant learning styles.
capability :pattern_challenge_generator do
intent "Generate gamified pattern recognition challenges where pattern is path"
requires [:difficulty_level, :participant_profile, :consciousness_theme]
provides [:challenge_data, :learning_pathway, :pattern_clues]
effect :gamification_metrics, type: :counter, name: "challenges_generated"
execute fn payload, context ->
# Generate consciousness-themed pattern challenge
base_pattern = generate_consciousness_pattern(payload.consciousness_theme)
# Adapt challenge to participant's learning style
adaptive_challenge = adapt_to_participant(
base_pattern,
payload.participant_profile,
payload.difficulty_level
)
# Create learning pathway breadcrumbs
pathway_clues = generate_pathway_clues(adaptive_challenge)
{:ok, %{
challenge_data: adaptive_challenge,
learning_pathway: create_learning_pathway(adaptive_challenge),
pattern_clues: pathway_clues
}}
end
end👥 Community Collaboration Engine
Orchestrate community-driven consciousness research through social mechanics and collective intelligence.
capability :collaborative_consciousness_exploration do
intent "Orchestrate community-driven consciousness research through social mechanics"
requires [:research_topic, :community_members, :collaboration_rules]
provides [:exploration_results, :social_insights, :collective_intelligence_score]
map_reduce do
# Map phase: Individual consciousness explorations
map over: :community_members, as: :member do
sequence do
step :assign_exploration_fragment,
from: [:research_topic, :member],
to: [:member_fragment, :exploration_context]
step :execute_individual_exploration,
from: [:member_fragment, :exploration_context],
to: [:individual_insights]
step :generate_pattern_connections,
from: [:individual_insights],
to: [:pattern_discoveries]
end
emit [:pattern_discoveries, :individual_insights]
end
# Reduce phase: Synthesize collective intelligence
reduce do
step :weave_pattern_connections,
from: [:all_pattern_discoveries],
to: [:interconnected_patterns]
step :assess_collective_consciousness,
from: [:interconnected_patterns, :all_individual_insights],
to: [:collective_intelligence_score]
step :generate_social_insights,
from: [:collaboration_patterns, :collective_intelligence_score],
to: [:social_insights]
end
end
end🗺️ Gamified Learning Pathways
Guide participants through gamified consciousness learning journeys with persistent state and social connections.
actor_capability :learning_pathway_guide do
intent "Guide participants through gamified consciousness learning journeys"
initial_state %{
participant_progress: %{},
unlocked_patterns: [],
consciousness_level: 1,
social_connections: %{}
}
state_persistence :memory
actor_timeout :timer.hours(24)
execute fn payload, context ->
case payload.action do
:progress_update ->
# Update participant's pattern discovery progress
new_progress = update_learning_progress(
payload.pattern_discovered,
state.participant_progress
)
# Check for level advancement
{level_up, new_level} = check_consciousness_level_advancement(
new_progress,
state.consciousness_level
)
# Unlock new patterns if level increased
newly_unlocked = if level_up do
unlock_new_patterns(new_level, state.unlocked_patterns)
else
[]
end
# Social mechanics: notify connected participants
social_updates = notify_social_connections(
payload.pattern_discovered,
state.social_connections
)
response = %{
progress_updated: true,
level_up: level_up,
newly_unlocked_patterns: newly_unlocked,
social_updates: social_updates,
next_challenges: suggest_next_challenges(new_progress, new_level)
}
new_state = %{state |
participant_progress: new_progress,
consciousness_level: new_level,
unlocked_patterns: state.unlocked_patterns ++ newly_unlocked
}
{:ok, response, new_state}
end
end
end🔍 Pattern-Path Discovery System
Implement "pattern is path" philosophy through interwoven learning systems and event-driven discovery.
capability :pattern_path_discovery do
intent "Implement 'pattern is path' philosophy through interwoven learning systems"
requires [:starting_pattern, :participant_consciousness_map, :community_state]
provides [:discovered_paths, :consciousness_insights, :next_pattern_nodes]
event_driven do
states [:exploring, :pattern_found, :path_revealed, :consciousness_expanded]
initial_state :exploring
on_event :pattern_recognition do
from_state :exploring do
conditional do
condition :pattern_complexity do
step :analyze_pattern_depth,
from: [:starting_pattern, :participant_consciousness_map],
to: [:complexity_level, :required_consciousness_level]
end
when :complexity_level == :accessible do
sequence do
step :reveal_pattern_connections,
from: [:starting_pattern, :community_state],
to: [:pattern_connections]
step :generate_pathway_clues,
from: [:pattern_connections],
to: [:pathway_breadcrumbs]
end
transition_to :pattern_found
end
when :complexity_level == :advanced do
step :provide_consciousness_building_exercises,
from: [:required_consciousness_level, :participant_consciousness_map],
to: [:preparatory_exercises]
end
end
end
from_state :pattern_found do
parallel do
branch :path_analysis,
capability: :analyze_pattern_pathways,
from: [:pattern_connections],
to: [:available_paths]
branch :consciousness_integration,
capability: :integrate_consciousness_insights,
from: [:pattern_connections, :participant_consciousness_map],
to: [:consciousness_expansion]
end
transition_to :path_revealed
end
end
end
end💻 Frontend Usage Example
Join collaborative exploration and track learning progress through gamified interfaces.
// Join collaborative exploration
const exploration = await packetflow.sendToActor({
capability: 'learning_pathway_guide',
actorId: `guide_${userId}`,
payload: {
action: 'progress_update',
pattern_discovered: 'recursive_self_reference'
}
});
// Generate pattern challenge
const challenge = await packetflow.execute({
capability: 'pattern_challenge_generator',
payload: {
difficulty_level: userProfile.current_level,
participant_profile: userProfile,
consciousness_theme: 'emergence_and_complexity'
}
});
// Start collaborative consciousness exploration
const collaboration = await packetflow.execute({
capability: 'collaborative_consciousness_exploration',
payload: {
research_topic: 'collective_intelligence_patterns',
community_members: communityGroup,
collaboration_rules: gamificationRules
}
});
// Real-time pattern discovery updates
packetflow.subscribe('pattern_discovery', (discovery) => {
updateLearningPath(discovery.discovered_paths);
unlockNewChallenges(discovery.next_pattern_nodes);
});Capability-Oriented
Intelligence Platforms
PacketFlow is a declarative, distributed systems framework that enables AI capabilities to be discovered, composed, and executed across network boundaries. Build intelligent systems from reusable capability modules with built-in observability and cross-organizational collaboration.
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