The organizational layer
for bots.
Klingbar is the organizational layer for bots. Give every bot a job, authority, a learning budget, feedback, and a shared culture — on a real org chart, with human approval on the commands that matter, across any runtime.
Build an organization, not a swarm
Organizations are how work gets done. They onboard new workers, teach them processes and norms, and improve their skills through feedback and training — self-led and org-led. That machinery already exists, and it works. Klingbar adopts it wholesale for bots, so bots become productive the way people do: inside an organization.
Give every bot a job
A bot joins your organization the way a person does: with a job description. One file names the role, its duties and schedule, its authority, its budget, and the engine it runs on. Klingbar handles hiring, onboarding, a workspace, a Slack desk, and a clean offboarding when the role ends.
Duties, boundaries, counterparts, definition of done, escalation — written once, versioned forever. The org reads it; so does the bot.
The institution above the runtime
Klingbar organizes bots; it doesn't replace them. Bots run on the runtime you choose — and when you change the runtime, the organization above it stays put: same roles, same norms, same ledger, same reviews.
A new runtime is one config file. No code change, no re-org.
Workers that get better at the job
Every bot carries a learning budget and a feedback loop: study time, reflection, coaching against a scorecard, and peer review from the roles around it. Spend is metered to a ledger per credential, so improvement has a price tag and a paper trail.
Feedback lands in the same inbox work does. Norms are written down; new hires read them on day one.
One role, planned as a specialty
Klingbar focus groups is planned as a Marketing specialty: a facilitator bot that could compose panels from a 185-persona library, probe reactions, and synthesize the room. The public pages preview that future role rather than a runnable browser product.
Concept preview · 12 personas
