TechWright Labs is an applied AI consultancy and product studio. We design, ship and run agent systems, and we run five AI products of our own.
We learned agent systems by running them. Our own products are built, tested and operated with agents in the loop and people at the gates. Clients get that working knowledge, not a slide deck about it.
Who we are. A small, senior team of engineers and product builders. We write the code, run the infrastructure and answer for what it does in production, for our products and for yours.
What we build. Agent systems that take real work off people's desks: support, content, code review, reporting. They stand on context pipelines, retrieval and evaluation loops, not clever prompts.
How we work. We start with one workflow, mark where a person must sign, and ship the smallest system that removes the glue work. We widen the loop only when the guardrails hold.
How to reach us. Describe the workflow you want off your desk in the project form. One of the people who would build it reads it and writes back.
Five products, built and operated by our own team. Each one taught us something we now bring to client work.
TrustGrowth
SEO growth engine for indie SaaS: daily audits, E-E-A-T scoring and growth verified in Search Console.
Gleania
Turns every job interview into notes, patterns and a plan for the next one.
DevDiary
A development diary written from your commits.
nFerens
Collects user feedback and sorts it into what to build next.
MetrixNest
Product observability that turns events into signals.
First, pick the work you want off your desk.
Then read the hand-over sheet: what the agent does, and where a person signs.
Stage: AI-assisted
Stage: AI-assisted
Stage: AI-assisted
Stage: Automated with guardrails
Stage: Automated with guardrails
Finally, we ship the smallest version and move it one stage at a time.
People do the work. We map where their time goes and which steps repeat.
The agent drafts, sorts and summarises. A person approves every result.
The agent finishes the job. People handle the exceptions it hands back.
Every engagement starts with one workflow and ends with a system your team can run. We stay until it does.
See consultingAgents that do one named job, with a person at each gate and a record of every action.
Tool use, Approvals, Audit trail
AI inside the support, sales, operations and engineering work you already do. It replaces glue work, not people.
Support, Operations, Engineering
Context pipelines, retrieval and evaluation loops that keep answers right after launch day.
Retrieval, Evaluations, Monitoring
A straight answer on when a SaaS tool is enough and when a custom system pays for itself.
Buy, Build, Compose
