Synapti is an
AI collective.
We ship products, write open standards, publish field reports, and build with clients. A small group of operators sharing tools, context, and a co-founder equity model.
Decipon is our first product. Our open-source work lives at github.com/synaptiai.
What we ship
Decipon
Decipon scores influence tactics in articles, posts, and statements across twenty categories. It does not tell you what is true. It shows you how content tries to influence you, with evidence for every finding and balanced perspectives that weigh the score from critical and supportive angles.
Built on the Influence Tactics Protocol, an open framework Synapti maintains. Used by readers verifying news, researchers analyzing source material at scale via API, and publishers who want credibility scoring inside editorial workflows.
Try DeciponStandards and tools we publish
Standards
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UIM Protocol
Standardized way for AI agents to discover and execute intents against web services. The missing layer between agents and APIs.
github.com/synaptiai/uim-protocol -
Agent Capability Standard
An open specification for composable AI agent capabilities: 36 atomic capabilities across 9 cognitive layers, type-safe workflow DSL, grounded world modeling.
github.com/synaptiai/agent-capability-standard -
Influence Tactics Protocol
Open standard for detecting and scoring manipulation in online content. 20-category framework across 5 composite factors. The substrate Decipon runs on.
github.com/synaptiai/influence-tactics-protocol -
Multi-Agent Constitutional Architecture
A four-layer governance architecture for multi-agent AI systems. Authority boundaries, escalation, and constitutional review applied to agent ensembles.
github.com/synaptiai/multi-agent-constitutional-architecture
Tools
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Synapti Marketplace
Curated collection of Claude Code plugins for AI-augmented development and analytical work. Each plugin ships agents, skills, and commands for a specific domain.
github.com/synaptiai/synapti-marketplace -
Prompt Decorators
Open standard plus Python reference implementation plus MCP server for composable prompt decorators. Brings systematic structure to prompt engineering.
github.com/synaptiai/prompt-decorators -
BDSK
Behavior-Driven Specification Kit. Specification-first governance for AI-assisted code generation: 8-phase validator, lifecycle skills, scope enforcement.
github.com/synaptiai/bdsk -
Lucid
Open-source epistemic audit for Claude conversation history. Applies eight published AI-safety frameworks to detect sycophancy, belief drift, and manipulation patterns.
github.com/synaptiai/lucid -
SIARE
Self-Improving Agentic RAG Engine. Evolves multi-agent RAG pipelines using quality-diversity optimization and topology search.
github.com/synaptiai/siare
Field reports we publish
We write about what we build, after we build it. Daniel publishes on Medium at medium.com/@danielbentes. The pieces below are recurring themes in that feed.
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The Specification Economy
Why writing the spec is becoming the high-leverage work of an AI-first organization, and what that does to roles, hiring, and value capture.
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The AI-First Design Kit: A Practitioner's Blueprint
Genome, governance, gates, and roles. The minimum viable scaffolding for an organization that wants agents to do the execution work.
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Age of the 1 Pizza Team
Coordination collapsed before the work did. Why teams of five with the right architecture now ship what used to take fifty.
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Liability as Moat
A unified read on Andrew Chen's agent-first distribution thesis and Julien Bek's "software masquerading as services" thesis. The defensible part is the part that absorbs risk.
How this works
Synapti is a collective of operators, not a payroll. Everyone who works here has equity, tracked via Slicing Pie so contribution flows into ownership without requiring a heroic up-front guess. You pick where to focus across products, open source, writing, or client work, based on interest and capacity.
Sometimes engagements are normal consultancy. Sometimes they are hybrid, reduced cash plus equity, when the project is one we want to be part of. We optimize for the outcome shipping, not for hours billed.
This is not a fit for everyone. It is a fit for senior practitioners who have shipped AI systems to production, are comfortable with variable income, and want to own what they build.
How to joinIf you have shipped AI systems to production and want to own what you build, talk to us.