Applied AI systems for growing teams

Turn messy work into a system your team can run.

Frontier builds AI products, improves repeated workflows, and helps teams put the new system into practice.

View product builds Book a call
01Product buildsProducts and internal tools02Workflow systemsResearch, knowledge, and GTM03Systems in practiceImplemented and handed-off workflows

Project planning

How a project is planned.

The price and delivery plan follow an agreed scope—not an open-ended estimate of time.
  1. 01

    Define the outcome

    Agree on the problem, deliverable, and definition of a useful result.

  2. 02

    Collect the inputs

    Review the tools, inputs, access, constraints, deadlines, and decision-makers.

  3. 03

    Write the scope

    Set the price, milestones, responsibilities, review points, and schedule.

  4. 04

    Build and review

    Share working versions early, gather feedback, and make agreed revisions.

  5. 05

    Handoff or maintain

    Deliver documentation and next steps, with maintenance defined if useful.

Pillar 01 / Product builds

AI products and internal tools.

Frontier designs and ships focused products around a specific user, workflow, and business constraint.
Product demoOpen Source

Agent Observability

Kosmos

Inspect how AI agents use files, tools, prompts, and workspace context.
What it does
  • Local runtime launched with npx, backed by a local SQLite workspace instead of a hosted dashboard.
  • Architecture map, live monitoring, trace replay, context audit, prompt workbench, and health overview for agent-heavy projects.
Open live product Technical details ↓
Product demoLive Production

Compliance-Aware Content

CompliPost

Create customer-facing content without skipping compliance review.
What it does
  • Product surface for compliant content generation, SEO-scale landing pages, and user-facing plan structure.
  • Rules-aware workflows that keep sensitive financial content inside practical guardrails.
Open live product Technical details ↓
Product demoPublic Demo

Source-Grounded GTM Workspace

Turn scattered sales documents into answers the team can check.
What it does
  • Browser-side document chunking and retrieval over seeded and uploaded Markdown/TXT sources.
  • Optional hosted synthesis through an API route while preserving a keyless local retrieval mode.
Open live product Technical details ↓
Product demoPublic Demo

AI Content Planning Workflow

Flowcraft

Turn source material into a review-ready campaign plan.
What it does
  • Staged async workflow for intake, theme extraction, content pillars, draft generation, and review packaging.
  • Streaming NDJSON progress events so users can see long-running AI work unfold step by step.
Open live product Technical details ↓
Product demoPublic Demo

Market Intelligence Pipeline

signalscope

Turn noisy market signals into cited reports and clear next steps.
What it does
  • Collection adapters for Google News RSS, Hacker News, GDELT, and optional Tavily search.
  • Two-pass AI pipeline: fast relevance triage followed by higher-quality synthesis.
Open live product Technical details ↓
Product demoIn Development

Practical AI Learning

Paper Trail

Build practical AI skills through guided lessons, projects, and practice.
What it does
  • 225 production lessons across 32 shared modules, 12 role routes, and 15 task-first playbooks.
  • A path-first learning experience with placement, practice, projects, progress, glossary, and local saved work.
Open live product Technical details ↓

Pillar 02 / Workflow systems

Research, knowledge, and operating workflows.

Frontier turns repeated work into a documented system with clear inputs, outputs, and review points.
01

Research and intelligence

Collect signals, remove noise, and produce reports that link every recommendation back to evidence.

Market monitoring · Buyer research · Cited reporting
02

Company knowledge

Organize the facts your team and its AI tools rely on, with clear sources, owners, and review rules.

Company wikis · Source libraries · Reusable context
03

Content and go-to-market

Build repeatable workflows for planning, drafting, reviewing, and using customer-facing work.

Content systems · Community listening · Outbound research

Pillar 03 / Systems in practice

Selected implementation projects.

These projects are described by the operating problem and system delivered rather than by client name.
System 01Implementation project

Community listening and response system

A founder team needed a repeatable way to find relevant public conversations, judge whether to engage, and prepare useful replies without automating the final post.

View system setup
System setup
  • A monitored source list, freshness and relevance checks, opportunity scoring, and a reviewable reply queue.
  • Brand context, claims rules, and response guidance built into the workflow instead of stored in a separate document.
Practical result
  • The team can run the listening process itself instead of searching communities manually.
  • Final judgment and posting stay with a person while the repetitive research and preparation are handled consistently.
System 02Implementation project

Product storytelling and content system

A small product team needed clearer packaging, visual concepts, and repeatable content direction without building a large production operation.

View system setup
System setup
  • A working loop connecting verified product facts, packaging, founder footage, visual concepts, and publishing tests.
  • Reusable guidance for turning product use, order preparation, and the making process into credible content.
Practical result
  • The team has a practical content direction grounded in the real product rather than generic campaign ideas.
  • New creative work can be produced and evaluated without starting the strategy from zero each time.
System 03Implementation project

Company knowledge and research system

A founder needed durable company context, better research habits, and a way to stop restarting every AI session from an empty chat.

View system setup
System setup
  • A company knowledge base seeded from source material and expanded through a structured operating interview.
  • Focused research and maintenance prompts for adding decisions, open questions, and new evidence over time.
Practical result
  • The company has a maintained source of context for planning, research, and day-to-day AI work.
  • Repeated work starts from shared company knowledge instead of isolated conversations.

How the work runs

A focused engagement from current process to documented handoff.
01

Inspect the current process

We start with the files, tools, decisions, and bottlenecks your team already has.

02

Build one useful intervention

We choose one valuable change and make it work inside the existing process.

03

Document and hand it over

Your team gets the tool, operating rules, review steps, and a practical handoff.

Have a workflow your team should not still be doing by hand?

Book a working session

Start with one workflow

What should your team stop doing the hard way?

Bring the process, the bottleneck, and the tools you already use. We will help identify the smallest useful system to build.

Book a call Email Frontier