Agent work, out of Markdown and into a tracker.
Agents produce plans, specs, tasks, and review findings faster than any team can track in files. TensorLine is being built as the tracker for that stream: every plan will become linked tasks, and every task will link to its agent runs, diffs, reviews, and cost.
The coming system of record for AI-assisted engineering.
When agents plan in Markdown files, the plan is stale the moment it's committed and invisible to everyone else. TensorLine is being built to keep plans, specs, tasks, and findings as live, linked objects — so a lead will see every agent's work in flight, and an auditor will walk from a merged PR back to the spec that asked for it.
What it will do — built for the pace of agent output.
Work tracking
Plans become tasks
Agent plans will land as structured, reviewable tasks instead of a wall of Markdown.
Everything linked
Task → agent runs → sandbox → diff → review findings → merge — the whole chain connected end to end.
Replaces Markdown files
Plans and specs will live as tracked objects with history — not files that go stale the moment they're committed.
Traceability & cost
Cost on every task
Each task will show what it cost in model spend, live from TensorGate — so prioritisation includes price.
From plan to merged PR
A lead will see every agent's work in flight; an auditor will walk from a merged PR back to the spec that asked for it.
Audit-grade history
Every plan revision, task transition, and review outcome will be recorded in the platform's audit trail — walkable from any merged PR back to the spec that asked for it.
Be first in line when TensorLine ships.
Request early access and you'll get TensorLine early access, included in the platform price — no separate fee.