╱╱ AGENT OPERATIONS PLATFORM
Build, measure, and evolve self‑improving agents.
A technical workbench for agent builders. Run controlled experiments, track evaluations, ship iterations, and compound learnings — all inside one operating surface.
╱ 01 — PROCESS
A disciplined loop.
Build. Measure. Improve.
The platform treats every agent as a measurable system — with versioning, telemetry, and controlled experimentation on rails.
Construct
Define the task, constraints, and evaluation criteria. Build from scratch, scaffold with AI, or upload an existing agent.
Measure
Every iteration is versioned. Runs, metrics, and diagnostics are captured automatically. No hidden behavior.
Improve
Run controlled experiments. Promote winners, roll back regressions, and compound learnings across your fleet.
╱ 02 — SYSTEM
Every instrument you need, on one console.
Controlled experiments
A/B prompt strategies, model configs, and agent behaviors with statistical rigor and reproducible runs.
Evaluation scorecards
Score every version across custom criteria. Track accuracy, reliability, and quality as first‑class signals.
Version control
Every iteration is versioned. Promote winners. Roll back regressions. Keep a clear lineage.
Telemetry & observability
Ingest runtime telemetry from deployed agents. Detect anomalies, latency spikes, and failure patterns.
Cross‑agent learning
Insights from one experiment inform others. Reusable learnings compound across your fleet.
Community discovery
Browse, fork, and build on agents shared by others. Reputation and trust scores surface what works.
╱ 03 — OPERATORS
Built for operators who ship.
Solo builders
Ship agents faster. Let the platform handle evaluation, experimentation, and improvement so you stay focused on behavior.
AI teams
Collaborate with governance, approvals, and role-based permissions. Keep iterations visible and coordinated.
Researchers
Run structured experiments with real controls. Compare strategies, track metrics, publish findings.
Platform engineers
Deploy with observability, telemetry, and automated quality gates as first-class concerns.
╱ 04 — FAQ
Questions, briefly.
01What kinds of agents can I build?+
Any. Summarization, classification, extraction, prediction, code gen, conversational. If it's an AI task, it can be built, tested, and improved here.
02How does self‑improvement work?+
Agents run controlled experiments — testing variations of prompts, parameters, and strategies against evaluation criteria you define. Winners are promoted; regressions are caught automatically.
03Which models are supported?+
Beespoke runs on OpenAI. You can choose between GPT-5.4 and GPT-5.4 mini per agent. Evaluation and improvement are consistent across both.
04How does collaboration work?+
Invite collaborators with granular permissions (view, run, edit, admin). Organizations get governance, approval workflows, and audit logging.
05Is my data safe?+
Yes. Row‑level security by default. Agents and experiments are private unless shared explicitly. Export and visibility controls remain with you.
06What does discovery look like?+
Browse community agents filtered by readiness, stability, and reputation. Fork, remix, and contribute learnings back.
╱ GET STARTED
Start building agents that measurably improve over time.
Free to begin. No credit card. First agent in minutes.