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.

Products

What we ship

Flagship decipon.com

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 Decipon
Open Source

Standards and tools we publish

Standards

Tools

  • 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
Writing

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.

  • 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.

  • 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.

  • 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.

  • 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.

Collective

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 join

If you have shipped AI systems to production and want to own what you build, talk to us.