Design the System That Prompts Your Agents
Go beyond prompt engineering. Define governed execution loops that discover work, execute it, and verify results autonomously with full audit trails built in.
Go beyond prompt engineering. Define governed execution loops that discover work, execute it, and verify results autonomously with full audit trails built in.
Define agent loops that discover, execute, and verify work without manual prompting. From CI sweeps to PR triage, agents run until the job is done.
Split execution and evaluation between models. One agent generates, another verifies. Hallucinated completions are caught before they ship.
Set token budgets, turn limits, and execution bounds so autonomous agents never burn through API spend unchecked.
Define structured loops where agents discover their own work, from CI failures to open issues to review queues, and execute without waiting for human input. Every loop is governed, logged, and auditable.
Route execution through a maker model and verification through a separate checker model. Catch hallucinated code, validate outputs against test suites, and ensure every agent output meets quality gates before it ships.
Configure token limits, turn caps, and cost thresholds per loop. If an agent approaches a budget boundary, the circuit breaker halts execution and surfaces a summary. No runaway spend, no surprise bills.
Trademark Disclaimer: All third-party trademarks, logos, and brand names displayed on this website are the property of their respective owners. Any company, product, or service names used on this website are for identification and compatibility purposes only. Reference to these names, logos, or brands does not imply endorsement, sponsorship, partnership, certification, or affiliation with Shakudo, unless expressly stated.