CONFLICT IS INFORMATION ASYMMETRY
Tacitus is an email‑native, multi‑agent analysis layer that turns the Resolution Deficit into a map of what is really happening – grounding high‑stakes decisions in structured evidence and common ground.
CONFLICT INTELLIGENCE ENGINE
Deterministic conflict graph over your email and docs. Ontology‑driven actors, interests, constraints, and ZOPA – not just keyword search.
VIEW ENGINE →THE PRISM LAB
Polarization & audience intelligence. Map polarized clusters, campaign narratives, and unexpected overlaps – then stress-test bridges, not just sharper talking points.
OPEN LAB →CONCORDIA DISCORS MAGAZINE
Our editorial lab at concordiadiscors.org – essays on liberty, conscience, pluralism, and polarization that inform how Tacitus thinks about conflict.
VISIT MAGAZINE →>> The Resolution Deficit
From a systems perspective, the Resolution Deficit is the gap between the rate at which organisations generate conflict‑relevant information and the rate at which humans can parse, model, and act on it.
Entropy Surface
Reply‑all storms and Slack fragments mapped as one field.
Signal Extraction
Claims and red lines lifted out of the noise.
Explainability
Traceable back to specific threads. No opaque scores.
>> Where Tacitus Lands
Executive & Founder Conflicts
Use case: Repeated board crises, founder splits, or leadership feuds where email threads
are long, positional, and emotionally loaded.
Tacitus: Reconstructs the hidden conflict graph – who actually holds leverage,
which red lines are real vs performative, and where co-authorship or phased exits preserve value instead of
burning it in litigation.
Public Sector & Multilateral Mediation
Use case: Ministries, agencies, and international actors negotiating reforms,
ceasefires, or sensitive governance changes over fragmented channels.
Tacitus: Ingests notes, cables, and minutes to surface latent coalitions, spoiler risks,
and a defensible Zone of Possible Agreement – giving mediators a structured map of trade-offs and guarantees.
Polarization, Campaigns & Civic Disputes
Use case: National infrastructure fights, campus crises, culture-war flashpoints where
formal power and narrative power diverge.
Tacitus: Joins internal communications with public narratives, highlighting where trust can
be rebuilt through design covenants, sequencing, and narrative recognition – not just better press lines.
>> Ingestion, Ontology & Graph Compute
Tacitus is not a single prompt. It is a conflict-native data pipeline: high-entropy messages flow in, a deterministic ontology and graph engine sit in the middle, and structured options come out. Roughly: Connect & Ingest → Clean & Align → Build Ontology Graph → Run Agents & Simulations.
Secure, read‑only connectors to email, shared drives, and notes, plus OSINT feeds and targeted web scraping. Threads are reconstructed, duplicates collapsed, and sensitive fields can be redacted or masked before any large model sees them.
Output: a time‑ordered corpus of conflict‑relevant messages, tagged by channel, project, and sensitivity.
The Tacitus Ontology Agent transforms raw text into a property graph: actors, interests, constraints, relationships, and proposed options. Every node/edge is typed, versioned, and traceable back to source sentences.
Under the hood: vector search for recall, but graph queries for resolution (centrality, veto paths, fragile alliances, possible mediators).
Multi‑agent workflows run on top of the graph: some agents summarize, others stress‑test options, others simulate how actors might react to sequencing, guarantees, or narrative shifts.
The result is not “one answer”, but a ranked set of resolution corridors – sequences of moves that respect mandates and red lines while shrinking the Resolution Deficit.