One place to understand and improve agent work.
Your agents are a workforce. agentacct connects what they do, what it costs and what moves the business forward, then helps you make the next run better.
The whole picture. A better next run.
People, agents and evidence connected to the same goal · Sample data
An opportunity is a proposal until it is reviewed, applied and compared
- 1 Understand
- 2 Prepare
- 3 Compare
- 4 Apply & learn
Same input, revision, environment and criteria · 4 held-out cases · Concept data
01 / 04 The platform
Cost, quality and speed are one decision, not three dashboards.
- 01 Every task keeps its owner, its goal, its recorded checks and its usage basis together.
- 02 Comparisons hold the input, revision, environment and acceptance criteria constant.
- 03 A reviewed lesson becomes a versioned playbook that future runs can reuse.
02 / 04 Understand, improve, learn
Three moves, one connected workspace.
The platform starts from the work your agents already do. It never asks a team to change tools before it can see what is happening.
01 Understand
See the workforce as it is.
Goals, workstreams, people and agents share one graph. Spend is attributed where the work happened. Accepted work is counted separately from reported work, so a team lead reads progress, not optimism.
- Cost by goal, team, person and agent
- Acceptance from recorded checks and human review
- Delivery outlook per workstream
02 Improve
Turn repetition into a prepared change.
When the same repository is explored again and again, or the full suite runs after every edit, agentacct surfaces the cohort and drafts a scoped change: a skill, a workflow or a hook, with an owner and an acceptance pack.
- Non-overlapping cohorts with modeled potential
- Drafts stay proposals until a person reviews them
- Quality guardrails are part of the change
Stop rediscovering the same repository.
Focus validation between edits.
Catch setup errors before agents retry.
$0 realized until a change is reviewed, applied and compared
03 Learn
Compare before you rely on it.
A prepared change runs against the same tasks, the same revision and the same acceptance criteria as current practice. Unfinished tasks and held-out cases stay in the comparison. Only then does the team decide to apply it.
- Paired tasks, not cherry-picked wins
- Cost per accepted task beside acceptance and time
- Versioned playbooks with an explicit application state
03 / 04 Inside the platform
Three outcomes to improve. Two ways to bring the work together.
Each story below is one decision made legible, with the same synthetic workspace behind it.
Attribute the spend, find repeated waste, review the opportunity.
02 · Outcome Execution qualityDefine acceptance, inspect the evidence, compare on equal terms.
03 · Outcome Delivery speedFind the delay, prepare a better sequence, compare completion.
04 · Feature Goals & workStart with a goal, connect the work, see who can move it forward.
05 · Feature Team playbooksCapture a lesson, prepare a scoped change, compare before use.
Open source agentacct on GitHubThe local-first app that records your own agent work. Your machine, no account.
04 / 04 What the platform won’t do
Clear about evidence. Clear about limits.
Enterprise buyers ask the hard questions early. These are the answers built into the product’s vocabulary.
A report is not a check.
Agent reports, recorded checks and human review stay separate, with their capture source attached.
Estimates carry their basis.
Usage comes from client records. Missing links and incomplete cost data stay visible instead of being filled in.
Proposals stay proposals.
A generated skill, workflow or hook changes nothing until a person reviews, applies and compares it.
Source access is a policy.
Organization visibility does not imply every conversation is shared. Access is explicit and visible next to the work.
See it with your own teams in mind
Walk through the platform
with airis.
A guided look at cost, quality and speed for a sample cohort, and a conversation about your tools.