Blog

Notes on building an AI that admits what it doesn't know

Practical guides to getting value from App Hub, plus engineering write-ups on deterministic scoring, honest uncertainty, and the reasoning systems behind Opis.

12 August 2026

Not Every AI Claim Needs a Citation — But Every Claim Needs a Basis

Why "no citation" is the wrong test for an AI claim, the six real types of evidence an answer can rest on, and why the gap between a genuine evidentiary hole and a phrasing artifact is the distinction most coverage still misses.

7 August 2026

Learn Opis Once: One Research System, Many Ways to Use It

A practical guide to learning Opis App Hub through its shared three-panel workspace, uncertainty signals, first research pass, and reusable intelligence.

7 August 2026

The Second Pass: Why Good AI Research Should Be Challenged

Why good AI research should be challenged: sources, assumptions, gaps, contradictions and Interactive Contextual Correction turn a first answer into working intelligence.

7 August 2026

From Research Mode to Workflow: When Context Starts to Compound

How individual Opis research modes become more valuable when evidence and context survive across a connected workflow instead of restarting from an empty prompt.

7 August 2026

From Research to Finished Work: Turning Opis Intelligence into Something a Client Can Use

How Opis intelligence moves from research into client-ready reports, brand treatment, transcreation, Content Studio and external delivery workflows.

4 August 2026

The Reasoning Ecosystem

Why standard AI competitor analysis drifts and hallucinates, and how App Hub's deterministic scoring, honest gap-reporting, and real-time correction produce AI business intelligence you can actually trust — compared against Zapier, Make, n8n, and the rest of the field.