Metaheuristic is an applied AI agency. We take teams from "we tried ChatGPT" to agents that take real actions across your CRM, tickets, docs, and APIs - with permission-aware RAG, evals, guardrails, and the LLMOps to keep them reliable, secure, and on budget.
route(task) {
if (simple) → haiku
if (reason) → sonnet
if (critical) → opus
if (cached) → return hit
}We map workflows, assess data readiness, and rank opportunities by ROI and risk.
A clear technical plan and a working prototype - before you commit to a production build.
Permission-aware RAG or agentic workflows with guardrails, memory, and integrations.
Golden-set evals, retrieval quality, and an OWASP LLM red-team before anything ships.
Ship with human approvals, safety limits, and full audit logs. Code ownership stays with you.
Monitoring, evals, prompt/version management, model routing, and cost control.
Clear scope, milestones, code ownership with you, and measurable success metrics on every engagement.
Book a call →Fixed scope and milestones. You own the code. Volume and enterprise terms (compliance, multi-agent, production hardening) scoped on request.
| At a glance | Metaheuristic | In-house hire | Generic dev shop | No-code (Zapier/Make) | Off-the-shelf copilot | DIY ChatGPT |
|---|---|---|---|---|---|---|
| What you get | Production system | Capacity over time | A build, maybe | Brittle automations | Generic chat | A prototype |
| Time to production | 2–10 weeks | Months to hire | Months | Days, then stuck | Instant | Never quite |
| Guardrails & approvals | Built in | Depends | - | - | Vendor-set | - |
| Evals & security | Evals + OWASP LLM | Depends | Rarely | - | Black box | - |
| Cost control | Routing + caching | Ad hoc | Ad hoc | Per-task fees | $ / seat / mo | Unmanaged |
| Ownership | Your code + IP | Yours | Negotiated | Locked-in | Vendor | Yours |
| Ongoing ops | LLMOps retainer | On the team | Hand-off | You maintain | Vendor SLA | You maintain |
A demo proves the model can do it once. We build the guardrails, evals, security, and ops that make it hold up every time - and we stay on to run it.
user› "Customer #2841 was double-charged. Fix it." retrieve› permission-aware RAG · 3 sources - orders/2841.json allow ✓ - policy/refunds.md allow ✓ - finance/ledger.xlsx deny ✕ (out of scope) reason› duplicate charge confirmed · within policy tool› stripe.refunds.create({ amount: 480_00 }) ⏸ guardrail: refund > $200 needs human approval ✓ approved by jordan@acme · 41s › refund issued · customer notified · logged $ ▍
{ "action": "refund",
"amount": 48000,
"approved_by": "jordan",
"sources": 2,
"status": "completed" }