Most organizations ignore their most abundant data source: the stream of language flowing through headlines, reports, and communications every day. We show what becomes possible when you don't. Milestone Planning and Research conducts AI research, builds specialty AI products, and delivers training and coaching that help organizations improve productivity and competitive advantage. Start with the weekly S&P 500 forecast — driven entirely by textual data, 93% directional hit rate across 907 trading days.
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Free. Published every Monday. No sales pitch — just the forecast and the method behind it.
Language — in headlines, reports, customer communications, and internal documents — is the largest and most ignored data source in most enterprises. Sentinel is a live demonstration of what structured textual analysis produces when applied rigorously: a forecast driven entirely by word frequency data, with performance that outpaces conventional models by a wide margin. The same methodology scales to any domain where text carries signal.
185 headline topic series, scored daily by word frequency. A principal component index derived from that language explains 88% of S&P 500 variance across 899 trading days. No price data enters the model. The forecast is built entirely from what people are writing about.
The PC-1 narrative composite and the S&P level are formally co-integrated — confirmed by Engle-Granger and Johansen tests. They are the same thing expressed in different units. When they diverge, the gap closes. The ECT z-score measures that gap every week.
Stata runs four do-files, estimates five competing models, and locks all quantitative outputs before Claude sees them. Claude receives those fixed values and interprets them — it cannot change a single number. Auditable, reproducible, no black box.
Each weekly issue contains the signal dashboard, 20-day forecast cone with Jeffreys bands, the narrative topic table, model competition rankings, and a five-layer Claude analysis — plus a human analyst context note on signals the model cannot yet see.
Sentinel uses financial headlines. The same architecture works on customer communications, project status reports, regulatory filings, competitive intelligence, or any domain where language volume and sentiment carry information about future states. That is the service we offer.
John Aaron has published six books advancing this framework — from AI governance and hybrid cognition to Bayesian project risk and competitive strategy. PRIMMS-GPT, Sentinel, IDS-X, and the PRIMMS Portfolio System are the operational systems that put the theory to work.
Every project management tool on the market does the same thing: it records what has happened. None of them can tell you what is structurally happening inside a project — the confidence erosion, the optimism bias compressing the recovery window, the failure archetype taking shape weeks before it appears on a dashboard.
PRIMMS-GPT closes that gap. A compiled MATLAB application computes Bayesian weight-of-evidence signals from your schedule data, team sentiment, and project documents. Claude receives those locked signals and runs a five-layer Cortical Hierarchy analysis — producing a sponsor-ready governance document in a single workflow. The machine orients. The humans decide.
Bayesian weight-of-evidence accumulation in decibans. Signal strength is auditable and reproducible — not an AI opinion.
Sentinel is built on a principle that transfers to any domain: textual data, structured rigorously, produces quantitative signals that outperform conventional models. The architecture is explicit and auditable at every step.
The same relationship exists in your organization between the language in your communications, reports, and external environment — and the outcomes you are trying to predict or control. Surfacing that signal is what we do. The S&P forecast is the live demonstration. The services below are how we bring it to your domain.
This is the signal dashboard from the April 10, 2026 issue — the week PC-1 reached its highest reading in the full 907-day sample.
Sentinel originates from a 30-year body of work in applied economics, Bayesian analytics, and enterprise transformation — and is maintained by the same people who consult on applying probabilistic reasoning inside organizations.
John Aaron is the founder of Milestone Planning and Research and the intellectual architect of the platform behind Sentinel, PRIMMS-GPT, and The Probability Advantage framework. Over more than three decades he has led complex enterprise initiatives — including SAP implementations and S/4HANA upgrades — while designing the specialty analytic and AI systems that now form the operational core of this work.
His academic foundation spans econometrics, time series analysis, and organizational development, combined with hands-on electronics and field engineering experience. That breadth allows him to move across executive strategy, software architecture, Bayesian analytics, cybersecurity diagnostics, and delivery execution — and to translate advanced analytic ideas into practical tools rather than leaving them at the level of theory.
Senior AI and digital transformation executive specializing in enterprise-scale AI deployment. Former CIO across multiple industries. Works with PE-backed and growth-stage companies on AI strategy through to production capability — from data platform architecture and ERP modernisation to LLM integration and AI governance. The Probability Advantage thesis is the operational anchor of his advisory practice.
Executive coach and organizational development consultant specializing in LLM integration and structured decision-making under uncertainty. Partner, George Washington Street Partners. His workshop and coaching engagements embed the same hybrid cognition discipline Sentinel embodies — machine-assisted perception, human judgment in command — directly into how leadership teams operate.
Six service areas — all grounded in the six-book Inductive Enterprise series — covering enterprise AI deployment, project risk intelligence, narrative signal mining, competitive strategy, AI capability coaching, and enterprise transformation. Products include Sentinel (this forecast) and PRIMMS-GPT for project risk.
AI deployment into existing process architecture — structured and unstructured data, AI PMO design, five governance policy instruments.
Bayesian WoE + Claude for ERP and transformation programmes. Detects structural deterioration before dashboards do.
Custom textual signal systems for forecasting, risk, or competitive intelligence — applied to your domain, not just financial markets.
Competitive positioning under AI convergence. When front-end analysis becomes commodity, advantage migrates to commitment and governance.
Seven strategic domains from Book 5: AI vs analytics, process optimization, LLM productivity, hybrid cognition, governance, AI PMO, infrastructure. Operational engagements, not events.
Contact Enquire with Tim →CIO-level advisory: AI strategy to production, data platform, ERP modernisation, LLM integration, intelligent automation, and governance at scale.
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