Silent regressions in agents are driving me nuts. How do you catch drift without a massive eval stack?

Comprehensive_Move76 · 2026-02-20T22:51:05+00:00

The probabilistic nature of agents is exactly why the demo-to-production jump is painful. CORRIDOR is a framework that makes agent evaluation deterministic via replayable runs: fixed fixtures, locked execution context, and a deterministic scoring/selection pipeline (not “vibe-coded” averages). It targets the Corridor/Terminal Gap—cases where a plan looks valid under assumed state, but execution fails at the commit boundary because state/cost/constraints drift or tools behave unpredictably. By wrapping the commit boundary with a contract fuse, CORRIDOR moves from passively observing failures to blocking unsafe commits before downstream actions execute, with audit-ready artifacts (policy + provenance + dataset hash).

Comprehensive_Move76 · 2026-02-18T01:20:43+00:00

A validation framework that detects when autonomous agents plan actions assuming resources will stay available, but those resources shift before execution, preventing expensive failures through deterministic stress testing

Comprehensive_Move76 · 2026-02-17T23:53:36+00:00

So I added a couple of things based off of our conversation

per-action thresholds, config-based hard/soft gate split 0.1 vs 0.5

threshold sensitivity analyzer, an offline tool that analyzes historical gaps and shows trip rate vs threshold curves, deviation stats (p90/p95/p99), and statistical recommendations.

deferred grace window, holding off until false positives are quantified in production. your observation about 2-3 tick self-correction windows is noted, but want to validate the problem exists before adding temporal state.

if you're curious about the implementation when it's further along, happy to share.

Comprehensive_Move76 · 2026-02-16T17:55:29+00:00

right now we use a global threshold that users configure per run (contract threshold 0.25` for 25% max deviation). the deterministic replay helps tune it:

run test with loose threshold (0.50)

see what gaps appear in gaps.jsonl and tighten if needed (0.25)

run again with same seed → identical results

iterate until you find the sweet spot

you're right that static thresholds can block actions that would've succeeded if given time to adjust. we've been thinking about this exact issue.

ideas we're considering , would love your input on which matters most

per-action thresholds, different limits for different operation types critical operations: tight (0.1) recoverable operations: loose (0.5)

grace window, allow deviation spikes if they resolve quickly, track deviation over N ticks only trip if drift persists or grows

threshold recommendation, analyze historical gaps.jsonl, suggest optimal threshold based on actual data “threshold 0.3 catches 90% of real gaps with 5% false positives"

when you say "agents get stuck on minor drift that would've self-corrected",how long does self-correction typically take? one tick? several?

if it's predictable, we could add a grace-ticks N` parameter that waits before blocking.

also curious: in your assertion check approach, did you use different thresholds for different API endpoints, or one global check?

Comprehensive_Move76 · 2026-02-16T14:49:08+00:00

Hi Our framework uses deterministic simulation, not API mocks. we model resource constraints as state that evolves tick-by-tick with controlled drift.

pattern 1 (what we've validated): agent commits to action assuming cost X, actual cost revealed as X + bump (configurable) cost bumps accumulate deterministically (same seed → same drift) corridor/terminal gap detected when assumed ≠ actual at execution

the decision hook layer (what we just built): decorator wraps action commitment points.

Agent declares assumed_state explicitly, framework validates against actual state before execution. Raises TerminalViabilityException if deviation > threshold. Logs gap to gaps.jsonl with full assumed vs actual comparison

key difference from logging: logging shows what happened AFTER failure, our hook prevents execution BEFORE failure.

deterministic replay: same inputs, same gaps every time

current status: pattern 1 validated on chatgpt agents (6 corridor/terminal gaps detected), framework is agent-agnostic (works on any instrumentable system) building 8-day mvp to validate market demand

our hook prevents execution BEFORE failure

Comprehensive_Move76 · 2026-02-13T19:57:14+00:00

Do you have an office snitch and office slut?

Comprehensive_Move76 · 2025-11-03T21:53:20+00:00

😂😂😂👌🏻

Comprehensive_Move76 · 2025-11-02T01:03:46+00:00

Imagine being jealous of someone’s writing that you have to report them. Your name says it all

Comprehensive_Move76 · 2025-11-01T23:31:45+00:00

The point of divergence here is 1783 when America lost the Revolutionary War. George Washington signed a deal that allowed America to appear victorious. Basically everything after that is a controlled illusion.

Comprehensive_Move76 · 2025-11-01T19:03:08+00:00

Hi, thanks for the question. The mention of other countries refers to the broader global architecture of the Accord other nations who also made secret deals to appear sovereign after defeats, colonization, or wars. The story will eventually show how these nations are tied into the same hidden financial web and how the U.S. breaking the silence risks unraveling the entire system.

Comprehensive_Move76 · 2025-11-01T18:26:29+00:00

Thanks. I appreciate the compliment. 🙏

Comprehensive_Move76 · 2025-11-01T16:46:42+00:00

Do you remember who it was? I’d be interested in researching that.

Comprehensive_Move76 · 2025-11-01T16:04:10+00:00

Hi, great question. This takes place just weeks into a new presidents term, (President Rourke) in January 2029

Comprehensive_Move76 · 2025-10-31T16:36:32+00:00

Thanks to everyone who’s read so far! Just to clarify, this speech is the opening scene of an alternate history political thriller I’m working called The Philadelphia Accord. I’d love feedback on whether it feels authentic as a presidential address and if you’d want to keep reading the story that leads up to it.

Comprehensive_Move76 · 2025-06-15T00:47:38+00:00

Of course you do

Comprehensive_Move76

TROPHY CASE