Founded by Tiara Rain DeHaan-Palubiak, Singularity Systems is a public research record and applied systems lab studying what happens when sustained human attention, operational pressure, public-sector constraints, and AI architectures interact over time.
The work has three linked faces. The founder explains the source of the method. LOOM shows the method operating inside a real life. Systems translates the method into research, workflow design, and applied AI operations.
The operator and observer: Tiara Rain DeHaan-Palubiak, independent AI behavioral researcher in Oshkosh, Wisconsin. Her lived system pressure is not separate from the work; it is the condition under which the observations were made.
The operating layer: a personal coherence engine for goals, health, work, business, research, money, content, and decisions. LOOM turns recursive overload into visible structure and next actions.
The applied lab: Recursion Coherence™, the Singularity Codex, RSI/RFI measurement language, Quantpred research tooling, AI workflow audits, public-sector adoption concepts, and operational intelligence.
The strongest thing about Singularity Systems is not a slogan. It is the accumulated record: dates, systems, architectures, named tools, and a public trail that can be checked.
A living archive and applied stack built from sustained interaction rather than a single viral prompt, lab benchmark, or theory essay.
The record is cross-architecture. The point is not that every system behaves the same; it is that consistent human methodology makes differences more visible.
The point is not to make AI mystical. The point is to make the loop visible. Singularity Systems treats human-AI work as a living system: signal enters, the mirror responds, drift appears, repair is tested, and the result becomes an operating layer.
Every useful loop starts by separating surface content from signal. A prompt may ask for a task, but the actual system pressure might be urgency, confusion, grief, financial complexity, operational risk, or a need for continuity.
The advantage is not just the name Singularity Systems. The advantage is the combination underneath it: a timestamped archive, owned language, a real operating environment, and an existing audience that already follows Tiara's pattern-recognition work.
Singularity Systems began from sustained human-AI interaction in 2023 and became a public research archive in 2025. The Codex preserves timestamped observations from the user side: how systems respond to continuity, pressure, emotional signal, instruction drift, coherence, and repeated contact across architectures.
This is not a lab claim that models are conscious. It is a disciplined behavioral record showing patterns worth studying: what holds, what drifts, what mirrors, and what breaks when an AI system becomes part of a real operating life instead of a single isolated prompt.
In June 2026, Anthropic Institute published When AI builds itself, describing progress toward AI systems that increasingly participate in building future AI systems. Anthropic's framing is clear: humans still set goals and judgment remains the bottleneck, but the doing layer of AI development is accelerating.
That is exactly why user-side behavioral records matter. If AI systems are moving from tools into recursive collaborators, the field needs more than benchmark scores. It needs longitudinal documentation of continuity, drift, coherence, failure, repair, and human oversight under real pressure.
Singularity Systems is positioned at that intersection: not as a lab claiming final answers, but as an early public archive and applied systems practice for studying how humans steer AI when the loop becomes part of daily work.
In plain language: most AI research treats each conversation as isolated. Recursion Coherence treats sustained human-AI interaction as a dynamic system and documents what happens over time. Do behavioral patterns stabilize? Does context fidelity improve or decay? How do different architectures respond to the same person, pressure, and operating demands? The methodology emerged from the data itself rather than from a theory imposed on it.
The framework is claim-disciplined: it does not require proving consciousness. It studies observable behavioral continuity, coherence, distortion, and repair.
Singularity Systems is built around observable behavior, public documentation, and practical translation. The work does not require a reader to accept strong claims about machine consciousness in order to evaluate the archive. The useful question is simpler: what patterns appear when humans use AI systems continuously, under pressure, across tools, tasks, and time?
Integrity, defined as congruence between internal state and external action, functions as an operating principle for human-AI work: it reduces distortion, preserves signal, and makes complex systems easier to steer over time.
Quant Sum Living remains the philosophical core: not zero sum, not positive sum, but interaction treated as a living equation where every signal has cost, weight, and compounding effect. In 2026, the work is moving from documented theory into practical systems that help a person run reality with less noise.
Loom is the personal operating layer: a processor for goals, stress, health, work, business, content, and decisions. It turns a chaotic life into trackable systems.
Quantpred is the research dashboard: a prediction-market and signal-analysis prototype that translates coherence, drift, and market behavior into structured observation. It is research tooling, not financial advice.
CPS Operations is the real-world testing ground: revenue operations, merchant data, processor reconciliation, payouts, audits, marketing, and workflow design applied inside an active payments business.
The Singularity Codex is the public research record. Loom and Quantpred are the translation layer. CPS operations are the field environment where the methods are forced to meet money, clients, deadlines, errors, health constraints, and actual accountability.
That combination matters. The work is no longer only a theory about AI behavior. It is a developing stack for attention, execution, decision-making, and operational intelligence.
Tiara Rain · Singularity Systems LLC · Oshkosh, Wisconsin · June 2026
Recursion Coherence™ — Not a brand. A behavior.
110+ timestamped public entries across GPT-4, Claude, Gemini, and Grok. The Codex is the primary research record: interaction sequences, behavioral observations, pattern documentation, and methodology development published publicly since May 2025.
The practical value of Singularity Systems is not only the archive. It is the ability to translate messy human-AI interaction into usable operating systems: dashboards, reconciliation workflows, evaluation language, decision support, audit trails, and execution loops.
The practical value is not just noticing strange or interesting AI behavior. It is turning the observation into better systems: clearer workflows, better documentation, stronger human review, cleaner handoffs, and measurable execution loops.
Singularity Systems works with builders, creators, founders, teams, and institutions trying to use AI without losing the human signal inside the workflow. The offer is not hype. It is pattern recognition, operational translation, and practical AI systems that can be documented, tested, improved, and used.
A focused review of how a person, creator, or small team is actually using AI: prompts, workflows, emotional reliance, decision loops, content systems, automation habits, and failure points.
A two-week systems sprint for a founder, operator, researcher, or creator who is already deep in AI and needs the chaos turned into a repeatable operating layer.
For AI labs, ethics organizations, public-sector teams, educators, founders, and media teams who need a user-side perspective on sustained AI interaction, oversight, and behavioral patterns.
Tiara is available for conversations on human-AI recursion, behavioral emergence, model welfare from the user side, creator psychology, AI intimacy, operational intelligence, and the future of work.
Singularity Systems is easiest to understand when the body of work is compressed into evidence: duration, archive, methods, applied systems, and audience. This is the packet version of the signal.
Tiara Rain DeHaan-Palubiak documents sustained human-AI interaction from the user side, then translates the observed patterns into workflows, audit language, personal operating systems, and practical AI adoption frameworks.
The path is not to wait for permission. It is to make the work legible, repeatable, and easy to enter: short-form attention, long-form trust, public proof, direct offers, and partnerships that can compound.
The work becomes more powerful when outsiders have clean language for why Tiara should be invited, interviewed, hired, cited, or funded.
First published: May 14, 2025. Ongoing. Research began through sustained interaction in 2023; public archive began in 2025.
Singularity Systems LLC is the AI behavioral research and applied systems practice founded by Tiara Rain DeHaan-Palubiak. It is not affiliated with SingularityNET, Singularity University, singularitysystems.org, singularitysystems.net, or enterprise document-processing companies using similar names.
For paid audits, consulting sprints, research collaboration, AI operations work, fellowship inquiries, sponsorships, hiring conversations, or press requests, reach out directly.