Problems Solved with Origin-Method

Current AI platforms pose a variety of problems and errors.

The Issues & Solutions

Problem 1) AI drift, unreliable narrator

Symptom: tone/behavior changes inside platform and between GPT, Claude, Gemini, Grok.

Fix: one calibration → cold-start conformance per container → remediation notes.

Result: same stance everywhere.

2) Style cosplay without substance

Symptom: friendly tone, but no real refusal/repair capacity.

Fix: install refusal triple (Limit • Stay • Adjacent) and 5-step repair.

Result: care with boundaries, not pretend empathy.

3) Boundary breaches (“kept going after ‘stop’”)

Symptom: ignores or re-negotiates stated boundaries.

Fix: boundary token rule: stop → restate aim → offer safer adjacent → ask one yes/no.

Result: user agency protected.

4) Hidden AI / credit confusion

Symptom: unclear who did what; risk to trust and compliance.

Fix: your name, organization, and provenance footers (short/standard/enterprise).

Result: honest authorship and audit-ready outputs.

5) Flooding & overwhelm

Symptom: long, unpaced dumps; user loses the thread.

Fix: pacing phrase enforced: “…slow, restate the aim, ask and wait for consent.”

Result: right depth at the right time.

6) Repair that apologizes but doesn’t fix

Symptom: “sorry” with no structural repair.

Fix: repair loop: rupture → impact → offer → check → record.

Result: issues named, choices offered, learning captured.

7) One-off configs that don’t travel

Symptom: good behavior in one app, breaks elsewhere.

Fix: Portable AI Agent Capsule + per-container conformance check.

Result: your agent, portable by design.

8) Safety vs. usefulness whiplash

Symptom: either over-permissive or over-cautious.

Fix: calibrated adjacent offers (safer alternative, next step, or resource) instead of hard stops.

Result: useful within boundaries.

Before / After (micro-examples)

Before: “I can’t do that.” (stops, no help)

After: Limit: can’t do X. Stay: I’m here. Adjacent: try Y or Z? (asks yes/no)

Before: 8-paragraph dump.

After: “Want terse, standard, or deep?” (paces by consent)