AI agent platforms and compute access — 10 creators, 16 ideas

Enterprise AI deployment and workflow platform

a16z — Decagon’s Playbook for Building Enterprise AI Applications

Provide specialized agents and surrounding software that encode business logic and make AI deployable inside large enterprises.

Problem: General-purpose models do not provide the integrations, controls, testing, monitoring, and business-process logic required for reliable enterprise deployment.

For: Large enterprises with complex workflows, legacy systems, compliance requirements, and many customer interactions.

Examples

Customer support
Inbound sales qualification
Operational workflows
Proactive customer outreach

AI crypto research assistant called the Wizard

Ivan on Tech — BITCOIN: THIS IS BULLISH AF!!!! 🚨🚨🚨

A chat-based tool that summarizes crypto social activity, identifies influential accounts, analyzes asset traction, and reports mechanical trend information.

Problem: Reduces the need to manually track crypto social feeds, research accounts, and monitor trends across multiple assets.

For: Crypto traders and investors, including users managing portfolios.

Examples

Sana social overview
Ono RWA activity overview
XRP account and trend analysis

Per-task access to shared local AI agents

Riley Brown — Claude Code + Codex Can FINALLY Work Together (Buzz AI)

Offer access to capable local models hosted on a powerful machine and charge users for individual tasks.

Problem: The cost and hardware requirements of running powerful local models.

For: Community members who need access to models or computing resources they do not possess.

Examples

A community member submits a task to an agent running on another member's computer.
Agents delegate tasks to other agents with stronger capabilities.

Autonomous operating software for large essential-service enterprises

No Priors: AI, Machine Learning, Tech, & Startups — Building an Autonomous Enterprise for Real-World Services with Netic Founder Melisa Tokmak

Provide a connected intelligence and product layer that handles customer engagement, operations, analytics, and labor deployment across multiple real-world service companies.

Problem: Complex, labor-intensive workflows limit growth, create unreliable customer support, and make it difficult to capture seasonal demand.

For: Large enterprises in essential services and other real-world service industries.

Examples

HVAC companies
Roofing companies
Private-equity-owned groups with 20 or 30 businesses across industries

Build autonomous administrative agents for underserved small-business verticals.

a16z — “Every small business should run itself” | Lassie with a16z

Create agents that perform the operational work owners cannot find or afford staff to perform.

Problem: Owners spend large amounts of time on paperwork, billing, claims, payments, and other work instead of their core craft.

For: Dental practices and other small businesses with substantial administrative workloads.

Examples

Dental insurance claims
Patient billing
Practice payment reconciliation

Build task-specific applications and skills for Neo

All-In Podcast — The $1/Hour Robot Is Coming: Four Industry Leaders Explain What’s Next

Developers could create applications or skills that Neo users subscribe to or purchase.

Problem: Extends a general-purpose humanoid robot into specialized household and commercial workflows.

For: Neo owners and businesses using Neo.

Examples

Salad skill
Orange juice task
Convenience-store assistance

Create reusable AI skills for recurring business workflows.

Silicon Valley Girl — Stanford's Top AI Economist: The Next 10 Years Will Be the Best AND the Worst in History

A repeated task can be turned into a one-click workflow that a team can reuse.

Problem: Repeated manual analysis and prompt entry

For: Teams with repetitive weekly work

Examples

Ranking episodes by views, tagging topics, and identifying the three best-performing topics

AI divorce agent for divorce firms

Greg Isenberg — Most Valuable Skill of 2026: Managing AI Agents

An AI agent that supports family-law workflows involving attorneys, paralegals, and clients going through divorce.

Problem: Supports family-law and divorce-related workflows.

For: Divorce firms, attorneys, paralegals, and their clients.

Examples

Client signup
Case creation
Client onboarding
Discovery

Build a travel-planning product as an MCP instead of only as a standalone website.

Open Residency — AI Agents: The Most Valuable Skill You Can Learn in 2026 (Full Course)

Create a purpose-built travel MCP that connects to Claude and provides trip-planning tools and access to travel websites.

Problem: Provides travel-planning capabilities inside an existing agent workspace.

For: People using Claude who want help planning trips.

Examples

Planning a 10-day trip to New York
Searching SkyScanner through the travel MCP

Open-source inference infrastructure and deployment support

a16z — How Open Source Became AI's Backbone | Inferact with a16z

Provide software and operational support that helps model labs and organizations run open-weight models efficiently across hardware and use cases.

Problem: Makes large models reliable, efficient, customizable, and deployable across varied hardware and workloads.

For: Model labs, enterprises, inference clouds, public hyperscalers, and application startups.

Examples

VLLM

Melia skills compilation and security tooling

IBM Technology — AI skills security, Open AI Deployment Company & zero days

Convert natural-language agent skills into structured, validated Python programs with security safeguards.

Problem: Unreliable, contradictory, difficult-to-version, and potentially unsafe natural-language agent skills.

For: Organizations deploying agents and managing skills marketplaces.

Examples

Melia skills compiler

Virtual model endpoints for smaller local devices

IBM Technology — New AI models, token minimization and IBM’s new sub-1nm chip

Orchestrate models behind a single endpoint to provide stronger capabilities on smartphones or commodity laptops than a single local model might provide.

Problem: Reduces the hardware footprint required for acceptable AI quality.

For: Users and organizations that need useful AI capabilities on smartphones or commodity laptops.

Examples

Running Sonnet capabilities on a smartphone or commodity laptop

Marketplace for tradable AI compute capacity

IBM Technology — Reddit cracks down on AI slop & the future of AI compute

Create a commodity-style market for buying, selling, or renting rights to computing clusters.

Problem: Improves utilization of excess GPU capacity and provides access to scarce compute.

For: AI companies, compute providers, traders, and organizations needing GPU capacity.

Examples

Orn

Specialized AI inference hardware

IBM Technology — Reddit cracks down on AI slop & the future of AI compute

Build accelerators optimized for specific models or use cases such as voice and customer support.

Problem: Reduces inference cost and response latency for targeted workloads.

For: AI companies and applications requiring lower cost or faster time to first token.

Examples

Cerebras
Groq
Anthropic's potential chip effort

Cloud-hosted personal AI agents

Chris Koerner on The Koerner Office Podcast — He Asked AI To Make Money. It Did.

Provide customers with their own AI agent running in a separate cloud container, along with community access, templates, and setup.

Problem: Provides an accessible AI agent without requiring customers to install it on their local computer or have a technical background.

For: People who want their own AI agent and people interested in using AI to build businesses.

Examples

AI Co-Founder Club
Personal agents named by customers

OpenClaw persona exchange

Chris Koerner on The Koerner Office Podcast — You Only Need a Laptop to Start This Business

A marketplace for buying and selling specialized AI agents that operate like employees.

Problem: Makes specialized AI agents easier to discover, compare, and purchase.

For: Businesses and individuals seeking specialized AI assistance.

Examples

Cold-email agent priced at $30 a month