Find your agent
Select the role by the work that needs to move, not by a framework name.
AI agents for professional services
Browse the roster. Find the job you need handled. Pick your industry. We deploy on infrastructure you control.
The agent roster
Each agent has a clear role, concrete outputs, approved tools, scoped memory, and visible autonomy boundaries.
I turn a new inquiry into a complete, review-ready client file.
I turn dense documents into structured, traceable data.
I keep every client matter moving and answer what changed.
I turn completed work into accurate revenue without chasing timesheets.
I make important dates visible before they become urgent.
I answer, qualify, schedule, and hand off without making callers repeat themselves.
I turn subject-matter expertise into publishable content in your voice.
I keep the pipeline clean and every follow-up relevant.
I turn conversations into decisions, owners, and follow-through.
I turn open questions into sourced, decision-ready research.
I watch the agent estate for risky actions, access drift, and control failures.
I turn approved decisions into reliable multi-system execution.
Find. Configure. Deploy.
Select the role by the work that needs to move, not by a framework name.
We adapt the workflow, integrations, terminology, approvals, and risk boundaries.
We connect the environment, test decisions and tools, document ownership, and train operators.
Five-layer architecture
Useful autonomy starts with a visible operating model. Guardrails are not hidden in a prompt; they are part of the delivered system.
The event that starts work: a message, email, webhook, meeting, uploaded file, or deadline.
The model, logic, thresholds, and escalation rules used to decide the next approved step.
The systems and actions the agent may use: email, documents, CRM, calendars, databases, and internal APIs.
The context it may retain, where that context comes from, who it belongs to, and when it expires.
Approvals, forbidden actions, rate limits, audit trails, access boundaries, and kill controls.
Production proof
Tuco and Brajko are operating agents. Gemma is an intelligence layer. Their profiles show the difference between a concept and a maintained production system.
Production proof
Runs a founder's operational layer from Slack across email, CRM, domains, and team coordination.
Open production profileProduction proof
Turns Slack requests into code changes, GitHub commits, deployments, and maintained web properties.
Open production profileProduction proof
A reasoning layer used to plan, evaluate, and produce tool-ready decisions for production agent workflows.
Open production profileResponsible autonomy
Deployments can run in environments selected around the client’s security and ownership requirements. External providers and data flows remain explicit.
Every action is classified as autonomous, approval-required, or forbidden, with logging and kill controls.
We engineer for the obligations that matter without pretending a tool automatically guarantees compliance.
Working agents, operating records, architecture artifacts, and handoff material—not a polished prototype with nowhere to go.
Industry configurations
The job may be familiar. The data, systems, approvals, language, and risk boundaries are specific to the environment.
AI News
A curated view of current model, agent, grounding, voice, and economic-research announcements from primary sources.
Economic research
A new connector lets users explore Anthropic Economic Index data directly in Claude while keeping the underlying source data and limitations visible.
Read the official sourceAgent grounding
The integration is designed to ground agent workflows in verifiable real-time web results with citations and flexible downstream processing.
Read the official sourceModel release
The release introduces Sol, Terra, and Luna with a focus on stronger work per token, coding, knowledge work, cybersecurity, and scientific tasks.
Read the official sourceWhat production taught us
These are observations from building and operating agent systems—not customer testimonials.
“The handoff matters as much as the model. An agent becomes useful when ownership, exceptions, logs, and operating routines are obvious.”
Production observation“Memory without scope becomes risk. Good agents know which client, matter, time window, and source every remembered fact belongs to.”
Production observation“The best first deployment is narrow enough to evaluate and valuable enough that the team notices when it is switched off.”
Production observationAI Readiness Audit
In one working session, we map the workflow, systems, approval boundaries, risks, and the most useful first deployment.