docs: call Reflexio a learning platform, not a layer - #466
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The team standardised on "learning platform" as the product category. This updates the two places in this repo that name it something else: - AI_AGENT_INTEGRATION.md: "best-effort learning layer" -> "best-effort learning platform" - benchmark/gdpval/RESULTS.md: "an external self-improvement layer" and "Reflexio, a layer that reads a completed run" -> "learning platform" Phrases describing the *agent* as self-improving are deliberately left alone: "an agent that is already self-improving" is a claim about the customer's agent, not about Reflexio's category.
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Included review availability: 1 review is currently available. Your included PR review attempts over the past 7 days set your current allowance at 4 reviews per hour. 📝 WalkthroughWalkthroughThe documentation, benchmark abstract, and client README now describe Reflexio as a learning platform. The integration guidance retains its best-effort, non-blocking behavior description. ChangesTerminology alignment
Estimated code review effort: 1 (Trivial) | ~2 minutes Merge Risk: ⚪ Minimal · up to This PR updates product terminology in documentation and does not change code or runtime behavior; no actionable merge-blocking risk remains after normal checks and review. Suggested reviewers: 🚥 Pre-merge checks | ✅ 5✅ Passed checks (5 passed)
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client_dist/README.md called Reflexio "the adaptive memory layer for AI agents". Two problems: 1. It is the wrong category term after the standardisation. 2. It directly contradicts the product's own positioning — the homepage leads with "Not another memory layer." and an entire blog post (remembers-everything-learns-nothing) argues that remembering is not learning. This file is the `readme` in client_dist/pyproject.toml, so it is the PyPI long-description for reflexio-ai: the most-read category statement Reflexio publishes outside the website. Found by review while checking the terminology sweep for completeness.
What
The team standardised on "learning platform" as Reflexio's product category — not "learning layer", "self-improving layer/platform", or "self-learning platform". This updates the two places in this repo that named it something else.
AI_AGENT_INTEGRATION.mdbenchmark/gdpval/RESULTS.mdbenchmark/gdpval/RESULTS.mdDeliberately left unchanged
RESULTS.mdalso contains "an agent that is already self-improving". That is a claim about the customer's agent, not about Reflexio's category, and it is load-bearing for the benchmark's framing — the whole research question is whether an external platform adds measurable value on top of an agent that already improves itself. Renaming it would break the argument.The
benchmark/gdpval/memory/module name is code structure, not marketing, and is untouched.Related
The enterprise repo carries the same terminology change across the website, docs, and email templates. The superproject's gitlink bump follows once this merges.
Docs only — no code paths affected.
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