Context is scattered
Agents need the right facts, policies, memories, records, and constraints at the right moment.
Fullstack developers for AI-agent SaaS
AI agents need more than prompts. They need a harness.
Fullstacktics designs and builds SaaS products around agentic workflows: context pipelines, tool access, reasoning loops, evaluations, and production-grade fullstack systems.
- Fullstack SaaS
- Agent harnesses
- Context engineering
Agent harness
User intent
Context layer
Reasoning core
Tool harness
SaaS outcome
01 retrieve only relevant context
02 expose safe tools with clear affordances
03 evaluate outputs before they reach users
The bottleneck
Prompt demos fail where products start.
Tools are unclear
Reasoning improves when tools have narrow scopes, predictable inputs, and useful feedback.
Reliability is missing
Production agents need traces, checks, fallbacks, evals, and product boundaries.
Services
Systems for agentic products.
We build the web app, the backend, and the agent harness as one product system instead of treating AI as a thin integration layer.
AI Agent SaaS Development
Design and implementation for SaaS products where agentic workflows are core to the user experience.
Harness Development
Tool registries, action boundaries, state machines, workflow runners, traces, and review points.
Context Engineering
Retrieval, memory, data shaping, prompt contracts, and relevance filters that keep agents grounded.
Tool Design and Integration
APIs, internal tools, third-party services, and domain actions packaged for reliable agent use.
Evaluations and Reliability
Scenario tests, output checks, observability, guardrails, and feedback loops for production behavior.
Approach
Give the model a smaller, better world to reason inside.
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Map
Map the workflow
We identify the jobs, decisions, user permissions, human review points, and failure modes.
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Shape
Design the context
We decide what the agent should know, when it should know it, and how relevance is measured.
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Build
Build the harness
We expose tools with clear contracts so the agent can plan, act, observe, and recover.
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Ship
Ship and evaluate
We connect the fullstack product, trace behavior, run evals, and tighten the loop.
Contact
Start with a short technical conversation.
Bring the product idea, workflow, or unreliable agent prototype. We will help identify the harness, context, and fullstack architecture it needs.