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Outcomes and Learning

sameernagar-hub edited this page Oct 9, 2026 · 1 revision

Outcomes and learning

Thesis: an application engine without feedback is a spam cannon. REGEN closes the loop: every reply is linked back to the application, the resume lane and the facts that produced it. Every rejection is analyzed until a rule explains it.

The event log (engine/feedback/events.py)

  • workspace/events.jsonl, append-only, one JSON object per line.
  • Writes take a cross-process file lock, so three appliers and the API can append at the same time.
  • Reads are incremental: consumers remember their byte offset.
  • Every derived view (report, API, live view, graph, learn) is a pure function of this file, so any state can be rebuilt by replaying it.

Inbox classification (engine/feedback/inbox.py)

engine inbox <msgs.json> (from a Gmail tab) or engine inbox --imap [days] (read-only IMAP) classifies recruiting mail into confirmation · OA · interview · rejection · offer · scam with ordered patterns (including rejection phrasing seen only in truncated snippets) and links each message to the application by company and role. The result is an outcome event and a row in workspace/outcomes.md.

Verified-only reporting

engine report [date] lists only applications whose latest status is SUBMITTED and whose proof screenshot exists. Counts in the README and wiki come from this command. Nothing else is counted.

engine learn

Response rates by lane and by ATS (applied, any reply, OA, interview, rejection) → workspace/learnings.md. This is the reward signal for future strategy choices (lane, timing, source).

The rejection log

Each rejection: read the body, re-read the stored JD (workspace/jd/), find the cause, add a fit-gate or form rule and a test, and log it. See Fit gate for entries. Mis-submissions are logged the same way. One example: a civil "Engineering Leader" title that passed the software title gate is now the first item to fix.

Knowledge graph (engine/memory)

Facts ↔ skills ↔ projects ↔ roles ↔ jobs ↔ companies ↔ outcomes. engine graph <term> returns a node and its neighbors, so you can ask which facts went into the applications that got replies.

Related: Architecture · Platform · Metrics

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