AI delivery workflow
Codex, Claude Code, specs, AGENTS.md rules, review loops, and handoff habits that make AI work inside real projects.
praya.io / AI delivery systems
I help owner-led software and web agencies turn Codex, Claude Code, GitHub, and automation into a repeatable delivery process.

Services
Codex, Claude Code, specs, AGENTS.md rules, review loops, and handoff habits that make AI work inside real projects.
Pull request checks, code review prompts, test gates, and issue-to-implementation flows for lean agency teams.
Proposal drafts, intake summaries, project updates, support triage, and delivery reporting connected to existing tools.
Small dashboards, workflow panels, and admin surfaces for teams that need software, not another SaaS subscription.
Process
Review one repo, current delivery flow, client handoff, and where AI is already helping or creating risk.
Define the operating system: repo rules, prompts, checks, handoffs, and measurable delivery outcomes.
Set up the workflow in code, docs, templates, automations, and team-ready examples.
Tune the system against real tickets, reviews, client requests, and production delivery pressure.
Engagements
$300-500
A focused review of one delivery workflow with a concrete adoption plan.
$1k-2.5k
A practical setup for agencies ready to use AI in production delivery.
$750-2k/mo
Ongoing implementation help for agencies shipping client work every week.
Example builds
A template with repo guidance, prompt packs, review gates, implementation plans, and delivery checklists.
A workflow that turns client notes into scoped tasks, risks, estimates, and first implementation plans.
A compact internal panel for project state, blockers, review queue, and weekly client-ready summaries.
Fit
No. It works best for technical founders, small dev shops, and web agencies that already ship client projects.
Yes. I can work behind the agency brand or directly with the delivery team, depending on the client relationship.
Yes. The point is not advice-only consulting. I can implement the workflows, automations, and internal tools.
Next step
I will map the risk, show the automation path, and propose the smallest useful install.