About TexTak
TexTak is a forecast-first AI news platform. We don't just report what happened in artificial intelligence — we predict where it's heading, and we publish our track record so you can judge whether our predictions are worth trusting.
Every forecast we publish has explicit resolution criteria, a public probability, and a visible track record. When we're wrong, you'll see it in our calibration data. We believe accountability is what separates forecasting from punditry.
The Refractor
Our proprietary signal analysis system.
Raw AI news enters as noise — hundreds of stories across research, industry, policy, healthcare, and labor. The Refractor passes each signal through five analytical lenses to produce probability-backed forecasts that are sharper than any single-source analysis.
Signals decay at different rates across domains. A regulatory filing ages differently than a benchmark result. The Refractor weights recency by domain context, not calendar time.
When unrelated stories from different verticals begin pointing in the same direction, that convergence is itself a signal. The Refractor detects cross-domain alignment that single-source analysis misses.
Confirmation bias is the enemy of calibration. The Refractor systematically amplifies disconfirming evidence, forcing every probability to defend itself against the strongest counter-narrative.
Not all claims carry equal weight. Primary sources, peer-reviewed research, and first-party announcements score differently than aggregated coverage or analyst speculation.
Current coverage patterns are matched against historical trajectory signatures — hype cycles, regulatory cascades, adoption curves. The Refractor identifies when today rhymes with a past inflection point.
The specific weights, thresholds, and interaction models between lenses are proprietary. We publish what each lens does and why it exists. We don't publish how they're calibrated against each other — that's the prescription inside the optic.
Calibration as Product
Our public calibration dashboard tracks every forecast we make. The Brier score — a standard metric in probabilistic forecasting — measures how close our probability estimates are to reality. A score of 0 is perfect; 0.25 is coin-flip useless. We target below 0.15 and display our actual number prominently, updated as forecasts resolve.
When we assign 70% probability to an event, we expect roughly 7 out of 10 such events to occur. If they occur 9 out of 10 times, we were underconfident. If 5 out of 10, we were overconfident. The calibration curve shows this alignment — or misalignment — for every probability band we use.
AI Transparency
TexTak uses AI throughout its editorial process. Here's exactly how:
AI searches, filters, and summarizes stories from across the web. Every summary is linked to its original source.
AI identifies which stories affect which active forecasts, and in which direction. Human editors review and override.
The Refractor produces initial probability estimates. Human editors adjust, annotate, or override with documented reasoning.
AI drafts analytical pieces that synthesize multiple stories. All AI-authored content is labeled — no ambiguity.
The flagship daily story is AI-drafted and clearly attributed to the TexTak Lead Desk.
Who's Behind This
Developer, product builder, and the person accountable for every forecast TexTak publishes. The question that drives this platform isn't “what can AI do?” — it's “what will AI do next, and how confident should we be about that?” The forecasting model, editorial voice, and accountability framework are human decisions. The scale and speed are AI-assisted. The track record is public.