Your AI agents work
on your laptop
.
They're useless to everyone else.
The Problem
Everyone has AI workflows.
Nobody can run them for a team.
The Individual
Your sales rep's prospect research is lethal. Your analyst's data pipeline runs 3x faster than anyone else's. Your engineer's code review catches bugs nobody else sees.
Trapped on one laptop.
The Framework
CrewAI, LangGraph, AutoGen — built for an era when you coded agents line by line. You've traded your working prompts for lock-in inside legacy abstractions. Modern agents are prompts, skills, and tools — powered by models smart enough to use them.
Plumbing, not products.
The Dream
A platform that takes what already works for one person, runs it safely for many, measures it, and makes it better automatically.
We built it.
How It Works
Five steps from laptop to
production agent system
This isn't a pipeline builder. It's a platform that runs your agents, judges them, and makes them better.
Install
Pick a Starter Kit or import your own skills, prompts, and scripts.
Run
Execute with budget, policy, and a live task graph. No infra to manage.
Evaluate
Judge the run against Goals. Gates pass or fail. Quality scores are recorded.
Improve
AI proposes a governed ChangeSet. You review and approve the improvement.
Compare
Re-run the new version. See the delta. Watch your agents get better.
Why Nicia
Not another framework.
The platform that was missing.
| Build from scratch | Personal use | Nicia | |
|---|---|---|---|
| Starting point | New code and orchestration logic | Files on one laptop | Your existing skills, prompts, scripts |
| Execution | Your infra | Your laptop | Managed sandboxes with policy |
| Coordination | Your code | Single agent | Prompt-driven task graphs |
| Evaluation | Build it yourself | Informal | Goals, evaluations, comparisons |
| Oversight | Your logging | Watch the terminal | Audit trail, budgets, approvals |
| Improvement | Manual iteration | Ad hoc | Evaluation-driven, governed |
| Scaling | Your problem | Doesn't | Reusable across a team |
Build from scratch: CrewAI, AutoGen, LangGraph, Temporal+LLM • Personal use: Claude Code, Aider, Cursor
What Makes Nicia Different
The things no other
platform does.
Agents that get better
after every run.
Other platforms run your agent and hand you a log file. Nicia evaluates every run against your Goals, diagnoses what went wrong, and proposes a specific, reviewable improvement.
You approve the change. A new version is created. Next run scores higher. That's not a feature — it's a fundamentally different kind of platform.
Stop reinventing.
Use the best your org has.
Your best engineer has a code review skill that catches 40% more bugs. Your top analyst has a data-cleaning workflow that runs 3x faster. Right now, those live on individual laptops.
Nicia turns individual excellence into organizational capability. Package the best skills, share them across agents, and let every team member benefit from the best work anyone has done.
Define what good looks like.
Grade every run.
Goals are versioned success contracts with hard gates and quality scores. They don't just tell you if an agent ran — they tell you if the result was actually good.
Run the same agent against the same Goal across versions and watch a leaderboard form. Your agents compete against your standards, and the standards win.
And the foundations that make it all possible
Emergent Task Graphs
No DAGs to author. Agents create tasks dynamically. The graph is what happened, rendered in real time.
Policy Governance
Budgets, tool allowlists, model restrictions, network egress rules. Start permissive, tighten over time.
Complete Audit Trail
Every tool call, LLM invocation, network request, and approval decision. Recorded, queryable, tamper-evident.
API-First Architecture
Our UI is a client of our own API. Every workflow you see is an API call you can make. Build on top of us.
Developer Experience
One API call to launch.
Full control when you want it.
Trigger runs, stream live events, evaluate against goals, propose improvements, and compare versions. All through a clean REST API.
# Launch an agent run
curl -X POST /v1/agents/sales_outreach/run \
-H 'Authorization: Bearer na_...' \
-d '{
"input": { "leads": "artifact://leads.csv" },
"budget_usd": 5,
"goal_ids": ["goal_q1_outreach_quality"]
}'
# Response: run created, evaluation scheduled
{ "run_id": "run_47", "status": "active" }Your agent is live.
Import your skills, prompts, and scripts. Launch with one API call.
It rewrites itself.
Evaluation runs automatically. AI proposes its first improvement.
Your team's best work. Automatic.
Governed, measured, and getting better with every run.