Make AI do useful work · 10 example briefs
AI workflows with tools, limits and accountability.
I build agents around real workflows, with retrieval, tool contracts, evaluations, bounded execution and human approval where decisions need it.
- ↗Tool-using agents and grounded retrieval
- ↗Evaluations and observable execution
- ↗Approvals, handoffs and recovery
Ways I can apply this capability
10 concrete examples.
Example briefs showing the challenge, the approach I would take and the deliverable you can review. Related work is linked below.
01Example brief
Support triage agent
- The challenge
- Support staff repeatedly classify tickets and collect missing context.
- Engineering approach
- Retrieve account context, classify the issue and route it with a reviewable explanation.
- What you get
- A triage workflow with confidence thresholds and human handoff.
Discuss this challenge ↗02Example brief
Grounded knowledge assistant
- The challenge
- Answers are scattered across documents and policies.
- Engineering approach
- Permission-aware ingestion, retrieval, citations and an abstention path.
- What you get
- A searchable assistant with source-backed answers and retrieval evaluations.
Discuss this challenge ↗03Example brief
Planner–executor workflow
- The challenge
- A complex task needs multiple tools and checkpoints.
- Engineering approach
- Separate planning, tool execution and evaluation; bound time, cost and retries.
- What you get
- An orchestration flow with execution traces and resumable steps.
Discuss this challenge ↗04Example brief
Document processing agent
- The challenge
- Teams manually turn incoming documents into structured records.
- Engineering approach
- Extract fields, validate schemas and route ambiguous records for review.
- What you get
- A document intake pipeline with validation results and a review queue.
Discuss this challenge ↗05Example brief
Architecture review assistant
- The challenge
- Large repositories are hard to inspect consistently.
- Engineering approach
- Collect repository evidence, map dependencies and draft findings for an engineer to verify.
- What you get
- A source-linked review report with explicit unresolved questions.
Discuss this challenge ↗06Example brief
Sales operations agent
- The challenge
- Leads lose context between forms, CRM and follow-up tasks.
- Engineering approach
- Normalize input, enrich records and prepare the next action behind approval.
- What you get
- A CRM workflow with duplicate checks and an approval log.
Discuss this challenge ↗07Example brief
Incident investigation assistant
- The challenge
- Responders waste time assembling logs and runbooks.
- Engineering approach
- Retrieve incident context, correlate signals and propose diagnostic steps.
- What you get
- An investigation workspace that records evidence and operator decisions.
Discuss this challenge ↗08Example brief
Agent tool gateway
- The challenge
- Tools expose broad permissions and inconsistent inputs.
- Engineering approach
- Typed tool contracts, per-action authorization, timeouts and rate limits.
- What you get
- A controlled gateway with tool-level usage and audit records.
Discuss this challenge ↗09Example brief
Agent evaluation harness
- The challenge
- A prompt change improves one example and breaks another.
- Engineering approach
- Version task datasets, run regression evaluations and inspect tool-use failures.
- What you get
- An evaluation suite with release gates and comparable results.
Discuss this challenge ↗10Example brief
Multi-agent workbench
- The challenge
- Specialist agents need to cooperate without losing task ownership.
- Engineering approach
- Explicit roles, shared state, bounded delegation and a single acceptance check.
- What you get
- A workbench with task lineage, handoffs and final artifact review.
Discuss this challenge ↗Bring the hard part
Build it. Review it. Give it a better foundation.
Tell me what you are building, what is breaking and what needs to change. We can start with a focused diagnostic and a concrete next step.