Service pitch
Custom AI agents
Outreach, personal assistance, coding, financial analysis and agents inside your applications. We build the agent around the task, connect your tools and give you a way to inspect its work.
Applied Agent Build
For teams applying AI to an existing operation, adding agents to software, or establishing a managed environment for individual agents and teams.
An agent with a defined job, connected tools and a way to check its work.
What you receive
- A defined task, representative inputs and success criteria
- The agent or team, harness, tools and required MCP/API connections
- Context, memory, permissions and human review where needed
- Evaluation, deployment, operating guidance and ownership handover
What the engagement can include
Outreach agents
Research prospects from approved sources, prepare personalized outreach, route replies and update your CRM. Sending permissions, approved channels and review steps are defined with your team.
Personal assistants
Connect the documents, calendar, email and business tools you choose. Give the assistant useful context and clear permission to prepare, recommend or carry out specific tasks.
Custom coding agents
Configure repository context, development tools, test commands and review workflows around your codebase. Build a repeatable path from task to checked change.
Financial analyst agents
Connect authorized data, extract information and prepare research, comparisons and reports with traceable sources. Your team reviews analysis and financial decisions.
Agents inside your software
Add agent-powered features to an existing application or a new product. Connect accounts, product data, tools and the interface people use to give instructions and review results.
Custom Hermes and OpenClaw agents
Set up and customize the supported agent environment around your workflows. Define models, instructions, skills, tool access, memory and deployment with a documented operator handover.
Ways to work together
Custom agent build
One agent built around a defined business task, with its tools, context and review workflow.
Agent inside an application
An agent-powered product feature connected to the application’s accounts, data and customer journey.
Delivery and handover
- Define the task, data, permissions and examples of a useful result.
- Test the uncertain model, tool and integration behavior first.
- Build the workflow with evaluation, cost limits and recovery.
- Roll out the agreed scope, document operation and hand over controls.
What we need to begin
Task examples, authorized data and tool access, account eligibility, expected volume and an operational owner for approvals and review.
Scope and terms
Provider access, model usage, hosting and third-party subscriptions are separate. Outreach requires authorized channels and consent practices. Financial-analysis agents support review; they do not promise returns or unrestricted trading. Agent teams do not imply unlimited autonomous business operation.
Optional care and improvement retainers are scoped separately. The final proposal confirms deliverables, review rounds, price, timeline and third-party costs.
Tell us what you
want to build.
Bring your current site or product, what needs to change, and your target date. We will put the proposed scope, milestones and price in writing.