AI is writing more of your code than ever. Loopmason reads the loop inside every session: prompt, generate, verify, correct. It shows engineering leaders what got built, how, how well, and how long it took.
“What did we actually ship this week?”
“Why did a one-line auth change take three days?”
“Is the AI spend paying off?”
90% of new code is now written by AI, and the volume metrics meant to track it get gamed within weeks. Meta’s token leaderboard died in a month. The answers all live inside the session, and that is where Loopmason reads them.
Every session runs the same four steps. The difference between shipping and churning is how many times it goes around. That three-day auth change? Its session ran the loop 18 times.
Loopmason reads every cycle and cites the moments. It reads plain non-AI sessions too: the baseline is how you prove AI’s real impact.
A real session, replayed as its loop, with wall-clock per cycle and grounded answers cited.
Dashboards tell you AI is being used. None tell you it’s making the work better, because the value is created or lost inside the session, the one place volume metrics can’t reach.
Startups to enterprises, all asking the same question. Loopmason proves the spend is building product, not theater.
Progress without status meetings. Daily narratives from real sessions.
OPTIMIZERecover the spend you’re wasting. Policy levers and per-engineer coaching.
GUARDCatch risk inside the session. Secrets, PII, prod access, gaming.
MENTORA private coach for every engineer. Grades the loop across 27 checks.
Auto-generated daily summaries rolled up into team threads: what shipped, how long it took, and where agentic loops are stalling in infinite iteration, all read directly from the session telemetry. Zero manual status updates required.
We won’t tell you to use AI less. Most spend is fixable without slowing anyone down. Loopmason shows exactly where it burns (wrong model, cold cache, sloppy prompts, endless iteration), splits the fix into policy levers and per-engineer coaching, and proves the savings with a projected-vs-realized ledger that includes the honest no-effect rows.
Secrets, destructive commands, PII, and prod access get flagged the moment they appear in-session. Notifications route to the right owner. Plus integrity checks for idle agents and gaming, so the numbers you trust stay honest.
Seniority isn’t about who uses AI most. It’s who runs a tighter loop. Every engineer gets a coach that replays their sessions and grades the loop: plan, build, verify, correct, across 27 transparent checks, each with a concrete fix. Private to the engineer, so people actually improve.
Session evidence reads the same from either side of the contract. Whether you pay for outsourced pods or run them, the work threads are the receipts.
Pin vendor pods to full visibility while your own engineers keep their privacy tier. Integrity signatures flag idle agents; work threads show what each session contained and how long it actually ran.
For IT services and delivery firms: instrument your own pods, reconcile billed hours against measured session time before the invoice goes out, and bring session-level evidence to every QBR. What got built, how long it ran, and where AI made your team faster. Show the work instead of claiming it.
Loopmason’s visibility isn’t a toggle a manager can flip; it’s a structural deployment choice your organization makes on day one. Choose the governance model that fits your workforce.
For vendor pods.
Named individuals, full attribution. Every session traceable. Built for distributed and vendor teams, where clear attribution and transparent progress are required for alignment.
For internal teams.
K-anonymous aggregates for leadership; full session replays strictly locked to the individual engineer. Built for works councils and trust-first cultures. Leadership sees the bottlenecks; engineers get the private coaching. The system structurally prevents individual score-carding.
Loopmason measures engineering by reading the actual work. It plugs into your stack through four capture channels. Deploy any combination, they coexist. Read-only where it can be, and direct-API orgs get a gateway with no per-developer install. Everything normalizes into one place.
CLI agent
Reads the session logs your CLI tools already write to disk. Never touches source; no code execution.
For teams on Claude Code, Codex CLI.
IDE extension
A lightweight editor extension streams AI-assist telemetry: prompts, completions, accepts, edits.
For VS Code, JetBrains, Cursor, and GitHub Copilot.
API gateway
A proxy in front of the model API (Anthropic, OpenAI, Bedrock) captures every request and response centrally.
For enterprises calling the model API directly. No per-developer install.
Git connector
Reads commit history as the ground-truth attribution backstop. Universal, runs alongside any channel above.
For every team, on top of git.
Loopmason substrate
Every channel normalizes into one queryable model of your work: consistent, comparable, and vendor-neutral.
Session data contains your code, prompts, and infrastructure. Choose where it lives.
Loopmason runs entirely inside your perimeter: your VPC, your keys, your retention policy. Nothing leaves. Built for organizations where session data simply cannot cross the boundary.
Prefer not to run it? The same product, managed by us, with the same governance model, anonymization options, and access logging. Fastest path from zero to first insight.
AI is writing more of your code than ever. No one can prove the spend is paying off. Loopmason reads the loop inside every session and shows what the spend actually built, and what it cost in time and tokens. See it on your own team.
Not ready to talk? Explore the live product first.